content/06_biological_sequences/capstone_cg_dinucleotides.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "# Capstone: Analyzing dinucleotide usage in the Human Genome\n",
    "\n",
    "We know that the human genome is made up of DNA that is in turn organized into chromosomes. We have seen that the 4 nucleotides present in DNA can be represented by the letters A, T, C and G, and that we can calculate the proportions of these letters in genomes. \n",
    "\n",
    "But what about larger patterns? For example, if a genome is 20% A, 20% T, 30% G and 30 % C, should we expect that the number of cases in which an A is followed by a T is proportional to the frequency of these letters in the genome?\n",
    "\n",
    "If so, we could use some basic knowledge of how to combine independent probabilities by multiplication to predict how often we would get certain 2 letter combinations like \"AT\" or \"CG\". Such two letter combinations are known as **dinucleotides** (di = two).\n",
    "\n",
    "In this section we will develop code for calculating the frequency of a particular dinucleotide, test it on some example sequences to make sure it works, and then hook that code up to the FASTA file parser we previously developed in order to run it over an entire genome.\n",
    "\n",
    "This will let us test the hypothesis that CG dinucleotides are formed more or less randomly based on when C nucleotides happen to be next to G nucleotides.\n",
    "\n",
    "Here's a summary of what we're trying to do:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Goal: Calculate 'CG' dinucleotide frequency in many genomes\n",
    "\n",
    "1. Calculate dinucleotide frequency in a DNA sequence\n",
    "    - a. Define a test example\n",
    "    - b. Determined the right answer on that test example by hand\n",
    "    - c. Write code to get that correct answer given a sequence\n",
    "    - d. Test is with multiple examples where we know the right answer\n",
    "2. Download a genome in FASTA format   \n",
    "3. Parse a FASTA file for a genome\n",
    "4. Loop over all the sequences in that FASTA file\n",
    "5. Calculate an observed and expected dinucleotide frequency for each gene\n",
    "6. Plot the observed results against the expected results to test our hypothesis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculating Dinucleotide Frequency from a Sequence in Python\n",
    "\n",
    "There are at least two ways to calculate dinucleotide frequency: \n",
    "\n",
    "**overlapping dinucleotides** count a dinucleotide starting at each index except the last one. So for example, the above sequence \"GCTACGTACG\" would form overlapping dinucleotides \"GC\",\"CT\",\"TA\",\"AC\", etc.\n",
    "\n",
    "**non-overlapping dinucleotides** count the first dinucleotide, then count the next as starting where the previous one ended. In the sequence \"GCTACGTACG\", this would result in non-overlapping dinucleotides \"GC\",\"TA\",\"CG\",\"TA\",\"CG\". Notably, the number of non-overlapping dinucleotides depends on whether the length of the sequence is odd or even. If it's odd (e.g. \"GCA\"), the last letter (e.g. \"A\") is ignored, resulting in 2 fewer dinucleotides than the total length of the sequence (there's only one non-overlapping dinucleotide — \"GC\" —  in the 3 letter sequence \"GCA\")\n",
    "\n",
    "**3-1 dinucleotides** 3-1 dinucleotides pertain to *protein coding sequences*. Recall that protein coding sequences are arranged into 3 letter codons, each of which codes for an amino acid (or e.g. a stop codon indicating the end of the amino acid chain). 3-1 dinucleotides include the last position of one codon and the first position of the next. Why these two positions specifically? Not all codon positions have equal influence on the final amino acid. For many — but not all—  amino acids the 3rd codon position doesn't matter at all. For instance, in the \"standard\" translation table, TCA, TCT,TCC and TCG all encode Serine. On average, the second codon position has the strongest influence on which amino acid is selected — TCA is Serine but TGG is Tryptophan for instance — the 3rd codon position has the least average influence, and the 1st codon position is intermediate. Therefore, 3-1 dinucleotides reflect dinucleotides that minimally influence of the encoded amino acid. That is useful if you want to study e.g. mutational processes rather than natural selection acting on the protein encoded by the amino acid. If the example sequence up above can be assumed to be 'in frame' with the first letter being the first position of the first codon, then it would include 3-1 dinucleotides: \"TA\" (the dinucleotide joining the codon \"GCT\" to \"ACG\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.2222222222222222\n"
     ]
    }
   ],
   "source": [
    "expected_cgs = 2\n",
    "expected_dinucs_total = 9\n",
    "expected_cg_freq = expected_cgs/expected_dinucs_total\n",
    "print(expected_cg_freq)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on this preliminary work, we can define our own function to calculate CG content:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_cg_content(sequence):\n",
    "    \"\"\"Return the CG content of a sequence as a float\n",
    "    sequence -- a string representing a DNA sequence\n",
    "    \"\"\"\n",
    "    #Make sure sequence is uppercase\n",
    "    sequence = sequence.upper()\n",
    "    cg_dinucs = sequence.count(\"CG\")\n",
    "    total_dinucs = len(sequence) \n",
    "    cg_freq = cg_dinucs/total_dinucs \n",
    "    return cg_freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<function calculate_cg_content at 0x113ef8d08>\n"
     ]
    }
   ],
   "source": [
    "print(calculate_cg_content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.2\n"
     ]
    }
   ],
   "source": [
    "observed_cg_content = calculate_cg_content(test_sequence)\n",
    "print(observed_cg_content)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "There are several catches to be aware of when calculating dinucleotide content:\n",
    "    \n",
    "- CG dinucleotide content is not the same as G+C content. For example, the sequence 'GCAGC' has 80% GC content but 0% CG dinucleotide content\n",
    "\n",
    "- The tricky part to calculating CG content is figuring out whether one wants to calculate 'overlapping' or 'non-overlapping' dinucleotide content, and based on that to determine the total dinucleotides in a sequence. In our case, let's calculate 'overlapping' dinucleotide content. This means that the sequence 'GCTA' is turned into overlapping dinucleotides ['GC','CT','TA']. If instead we were calculating 'non-overlapping' dinucleotide content, the same 'GCTA' sequence would be turned into non-overlapping nucleotides ['GC','TA']. \n",
    "\n",
    "- In the overlapping case, the total number of dinucleotides is easy to establish: it is just one less than the length of the sequence. For example, the sequence 'A' has 0 overlapping dinucleotides, 'AT' has 1, 'ATC' has 2 ('AT' and 'TC), etc. \n",
    "\n",
    "- If we're calculating non-overlapping dinucleotides, we have to pay attention to whether the sequence length is divisible by 2 or not: the sequence 'A' has 0 non-overlapping dinucleotides, 'AT' has 1, but 'ATC' still only has 1 ('AT'), 'ATCG' has 2, 'ATCGC' has 2 again, etc. This can be represented by the sequence length -1 if the sequence length is divisible by 2, or the sequence length -2 if it isn't divisible by 2."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculating Expected CG content\n",
    "\n",
    "If there was no special biology governing CG dinucleotides, how many of them should we expect in any given sequence?\n",
    "\n",
    "We can formulate this question as a hypothesis: \n",
    ">**Hypothesis:** C and G are independent. Therefore the chances of getting a G right after a C are purely based on the frequency of G\n",
    "\n",
    "From basic probability, recall that the chances of two independent random events occuring together is just the product of their individual probabilities. So we understand that if G's have a frequency of, say, 20% in the overall genome, and Cs have a frequency of 20%, then the frequency of CG dinucleotides we expect *if* our hypothesis is correct, is 0.20 x 0.20 = 0.04, or 4% of total dinucleotides.  More generally, if this hypothesis is correct, the frequency of CG dinucleotides can be written as a formula in terms of the frequency of C nucleotides and G nucleotides:\n",
    "\n",
    "$$ f(CG) = f(C) * f(G) $$\n",
    "\n",
    "Here f(something) should be read as 'the frequency of ' whatever is in parentheses. So we would read this as: the frequency of CG dinucleotides is equal to the frequency of C nucleotides times the frequency of G nucleotides. \n",
    "Let us emphasize again that this equation is *only* true *if* C and G occur independently. So this is a very simple concept, but we now have a compact way to describe it mathematically.\n",
    "\n",
    "Another way to describe this same idea is to say that — under our hypothesis — the chances of getting a G don't depend on whether you have a C beforehand. Mathematically this can be written as follows:\n",
    "\n",
    "$$ f(G|C) = f(G) $$\n",
    "\n",
    "The bar | should be read as 'given' or 'conditional on'. So the whole equation can be read as \"the frequency of getting a G given that you just had a C is the same as the overal frequency of G\". If we wanted to, we could assert the same thing for all other preceding nucleotides:\n",
    "\n",
    "$$ f(G|A) = f(G) $$\n",
    "$$ f(G|T) = f(G) $$\n",
    "$$ f(G|C) = f(G) $$\n",
    "$$ f(G|G) = f(G) $$\n",
    "\n",
    "In other words, according to our hypothesis the previous letter doesn't matter.\n",
    "\n",
    "It is critical to note that all of these summaries are just predictions, based on our hypothesis. Writing them as equations doesn't make them true. Indeed, you can write all sorts of mathematically valid equations that do not in fact describe anything at all about biology. So our next task is to test the predictions of our hypothesis using biological data. \n",
    "\n",
    "Our equations outline a simple way to do so. We already have code to calculate the actual observed frequency of CG dinucleotides in a sequence. We also have an equation saying what frequency of CG dinucleotides we should expect under our hypothesis given the frequency of the letters C and G in our sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Calculating expected CG content\n",
    "\n",
    "def calculate_expected_cg_content(sequence):\n",
    "    \"\"\"Return the expected CG content of a sequence as a float\n",
    "    sequence -- a string representing a DNA sequence\n",
    "    \n",
    "    The expected CG content is calculated\n",
    "    under the assumption that C and G nucleotides \n",
    "    occur independently. If that were true,\n",
    "    then the frequency of CG dinucleotides would\n",
    "    just be the frequency of G nucleotides times\n",
    "    the frequency of C nucleotides.\n",
    "    \"\"\"\n",
    "    #Need to ensure sequence is uppercase\n",
    "    sequence = sequence.upper()\n",
    "    freq_g = sequence.count(\"G\")/len(sequence)\n",
    "    freq_c = sequence.count(\"C\")/len(sequence)\n",
    "    \n",
    "    freq_cg = freq_g * freq_c \n",
    "    return freq_cg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download all (predicted) coding sequences from the Human Genome\n",
    "\n",
    "The National Center for Biotechnology Information (NCBI) website has an ftp server with\n",
    "a wide variety of genomes. The codig sequences for the human genome can be found here:\n",
    "\n",
    "https://ftp.ncbi.nih.gov/genomes/refseq/vertebrate_mammalian/Homo_sapiens/annotation_releases/109.20210226/GCF_000001405.39_GRCh38.p13/\n",
    "\n",
    "We want to pick this file:\n",
    "\n",
    "`GCF_000001405.39_GRCh38.p13_cds_from_genomic.fna.gz`\n",
    "\n",
    "The key points to recognize are the `cds` stands for coding sequences — the parts of the genome that code for proteins, `fna` indicates nucleotide data in FASTA format, and `.gz` indicates that the results will be compressed with `gzip`, so you have to expand them before working with them in python (depending on your system this might require installing software for decompressing gzip files)\n",
    "\n",
    "Once we've extracted the file, we should ensure we have a file with the name './GCF_000001405.39_GRCh38.p13_cds_from_genomic.fna' in our current working directory.\n",
    "\n",
    "We can test this by trying to open it in python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "human_genome_filepath = './GCF_000001405.39_GRCh38.p13_cds_from_genomic.fna'\n",
    "human_genome_file = open(human_genome_filepath)\n",
    "human_genome_file.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">STOP HERE and download the human genome from the link above ... later steps won't work unless you have it present in the same directory as you are running your code from. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Incorporating our FASTA parser\n",
    "\n",
    "In a previous section, we developed a simple FASTA file parser that returned a dictionary linking each sequence id in a FASTA file to it's sequence.\n",
    "\n",
    "We can now use this in combination with our code for counting the observed and actual frequency of \"CG\" dinucleotides.\n",
    "\n",
    "As a reminder, here is our FASTA parser:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parse_fasta_file(input_file):\n",
    "    \"\"\"Return a dict of {id:gene_seq} pairs based on the sequences in the input FASTA file\n",
    "    input_file -- a file handle for an input fasta file\n",
    "    \"\"\"\n",
    "    parsed_seqs = {}\n",
    "    curr_seq_id = None\n",
    "    curr_seq = []\n",
    "\n",
    "    for line in f:\n",
    "        line = line.strip()\n",
    "\n",
    "        if line.startswith(\">\"):\n",
    "            if curr_seq_id is not None:\n",
    "                parsed_seqs[curr_seq_id] = ''.join(curr_seq)\n",
    "\n",
    "            curr_seq_id = line[1:]\n",
    "            curr_seq = []\n",
    "            continue\n",
    "\n",
    "        curr_seq.append(line)\n",
    "\n",
    "    #Add the final sequence to the dict\n",
    "    parsed_seqs[curr_seq_id] = ''.join(curr_seq)\n",
    "    return parsed_seqs\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Testing the FASTA parser on a genome:\n",
    "\n",
    "Let's make sure we can run our parser the whole human genome."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done parsing genome\n"
     ]
    }
   ],
   "source": [
    "#Normally this would be determined\n",
    "#by user input via argparse. Hard-coded for now\n",
    "\n",
    "input_file = human_genome_filepath\n",
    "\n",
    "f = open(input_file)\n",
    "parsed_seqs = parse_fasta_file(input_file)\n",
    "print(\"Done parsing genome\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We don't want to print all the parsed sequences to screen at once, as it would be too much text to look at. Instead, let's loop over the first few of them.\n",
    "\n",
    "How can we iterate over parsed_seqs?  First, let's note that parsed seqs is a `dict` object. We can tell this because in the code for our FASTA parser up above it was defined with curley braces {}. We could also call the `type` function on `parsed_seqs` to verify this if we were unsure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(parsed_seqs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Given this information, what we want to do can be stated in general terms as: we have a dictionary, and we want to iterate over all it's key-value pairs. Let's examine that general coding task, and then apply what we learn to loop our code for calculating CG dinucleotide content over a whole freakin' genome.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Python Coding Technique**: Looping over all the keys and items in a dictionary.\n",
    "\n",
    " Python dictionaries have an `.items()` method that returns key-value pairs from the dictionary in an arbitrary order. Let's show how this works on a simple example dictionary, then apply it to our giant dictionary of gene ids and sequences:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Animal adjectives is a : <class 'dict'>\n",
      "It consists of the following key-value pairs: dict_items([('bears', 'big'), ('cheetahs', 'fast'), ('crows', 'smart'), ('parrots', 'very freaking loud sometimes')])\n"
     ]
    }
   ],
   "source": [
    "animal_adjectives = {\"bears\":\"big\",\"cheetahs\":\"fast\",\"crows\":\"smart\",\"parrots\":\"very freaking loud sometimes\"}\n",
    "print(\"Animal adjectives is a :\",type(animal_adjectives))\n",
    "print(\"It consists of the following key-value pairs:\",animal_adjectives.items())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We've defined a dictionary (`dict`) where animals are the keys and the values are adjectives that some people might associate with them. Feel free to adjust the adjectives to whatever you associate with these animals. Calling the `.items()` method on our `dict` of animal adjectives got us a dict_items object that has within it what looks like a list. It is common to use dict_items objects like this one to iterate over dictionaries in a for loop. This can be done as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I think of bears as big\n",
      "I think of cheetahs as fast\n",
      "I think of crows as smart\n",
      "I think of parrots as very freaking loud sometimes\n"
     ]
    }
   ],
   "source": [
    "for animal, adjective in animal_adjectives.items():\n",
    "    print(f\"I think of {animal} as {adjective}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Looping over a whole genome!\n",
    "\n",
    "Now let's apply this to our sequences. To prevent our entire screen from filling with gene ids, I'll add an if statement that uses the `break` keyword to immediately end our loop after a certain numbers of entries. This will let us print the first 100 gene ids:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lcl|NC_000001.11_cds_NP_001005484.2_1 [gene=OR4F5] [db_xref=CCDS:CCDS30547.1,Ensembl:ENSP00000493376.2,GeneID:79501] [protein=olfactory receptor 4F5] [protein_id=NP_001005484.2] [location=join(65565..65573,69037..70008)] [gbkey=CDS]\n",
      "ATGAAGAAGGTAACTGCAGAGGCTATTTCCTGGAATGAATCAACGAGTGAAACGAATAACTCTATGGTGACTGAATTCATTTTTCTGGGTCTCTCTGATTCTCAGGAACTCCAGACCTTCCTATTTATGTTGTTTTTTGTATTCTATGGAGGAATCGTGTTTGGAAACCTTCTTATTGTCATAACAGTGGTATCTGACTCCCACCTTCACTCTCCCATGTACTTCCTGCTAGCCAACCTCTCACTCATTGATCTGTCTCTGTCTTCAGTCACAGCCCCCAAGATGATTACTGACTTTTTCAGCCAGCGCAAAGTCATCTCTTTCAAGGGCTGCCTTGTTCAGATATTTCTCCTTCACTTCTTTGGTGGGAGTGAGATGGTGATCCTCATAGCCATGGGCTTTGACAGATATATAGCAATATGCAAGCCCCTACACTACACTACAATTATGTGTGGCAACGCATGTGTCGGCATTATGGCTGTCACATGGGGAATTGGCTTTCTCCATTCGGTGAGCCAGTTGGCGTTTGCCGTGCACTTACTCTTCTGTGGTCCCAATGAGGTCGATAGTTTTTATTGTGACCTTCCTAGGGTAATCAAACTTGCCTGTACAGATACCTACAGGCTAGATATTATGGTCATTGCTAACAGTGGTGTGCTCACTGTGTGTTCTTTTGTTCTTCTAATCATCTCATACACTATCATCCTAATGACCATCCAGCATCGCCCTTTAGATAAGTCGTCCAAAGCTCTGTCCACTTTGACTGCTCACATTACAGTAGTTCTTTTGTTCTTTGGACCATGTGTCTTTATTTATGCCTGGCCATTCCCCATCAAGTCATTAGATAAATTCCTTGCTGTATTTTATTCTGTGATCACCCCTCTCTTGAACCCAATTATATACACACTGAGGAACAAAGACATGAAGACGGCAATAAGACAGCTGAGAAAATGGGATGCACATTCTAGTGTAAAGTTTTAG\n",
      "lcl|NC_000001.11_cds_XP_024307731.1_2 [gene=LOC112268260] [db_xref=GeneID:112268260] [protein=uncharacterized protein LOC112268260 isoform X2] [protein_id=XP_024307731.1] [location=complement(join(358067..358183,373144..373323,379769..379870,399041..399100))] [gbkey=CDS]\n",
      "ATGGATGACCATTTCAAACGATCCAGGCTAAGCCAGGAGGAGAGCTCAAAGTCTGATCTGCTCTGCTGCCCCCTGCCCCATACACGTGATGGAGCAGAAAACGTGCTGTGTGAACCTGTGACTTCAGGGCCTGTTGACGTGGTCGTGCTTGCATACTCTCTGGACTGGACCTCACTGTGGGAACAACAAGATCAACAAGAGGAGCAAGAACAACATCAAGAGTCAGGGCCCGGGGGTCCTGACGGGTACAGGACGGGTACAGACCCACACAGGAATCCCAGAGTGTGTTCCACAGCAGGACACGCCTGCGCTGAAAGAGTGGGCAGAAAGGAGCTGACCTGGACCAAACCAATGCACAACTCCTACGTACTGATGGTGGTCTTACGTTTCCCTAAGTTTCTGCCGACTAAACTGTGCACACGTTCTCAGGACCTCCTGAAGCTGCGTCACAGGCGCTGA\n",
      "lcl|NC_000001.11_cds_XP_024307730.1_3 [gene=LOC112268260] [db_xref=GeneID:112268260] [protein=uncharacterized protein LOC112268260 isoform X1] [protein_id=XP_024307730.1] [location=complement(join(358153..358183,365565..365692,373144..373323,379769..379870,399041..399100))] [gbkey=CDS]\n",
      "ATGGATGACCATTTCAAACGATCCAGGCTAAGCCAGGAGGAGAGCTCAAAGTCTGATCTGCTCTGCTGCCCCCTGCCCCATACACGTGATGGAGCAGAAAACGTGCTGTGTGAACCTGTGACTTCAGGGCCTGTTGACGTGGTCGTGCTTGCATACTCTCTGGACTGGACCTCACTGTGGGAACAACAAGATCAACAAGAGGAGCAAGAACAACATCAAGAGTCAGGGCCCGGGGGTCCTGACGGGTACAGGACGGGTACAGACCCACACAGGAATCCCAGAGTGTGTTCCACAGCAGGACACGCCTGCGCTGAAAGAGTGGGCAGAAAGGAGCTGACCTGGGATTATGATCCAAACTCAGCTGGGCCTCCCCTCCCTGCCCCAGGATTGTGGAGTGAGAACGTTGCAGCAGGAGAGAACAACGCAGCAAAGCACAGCAGGGGAACCGGAAATGCTCACCTTTTGACAGGACCAAACCAATGCACAACTCCTACGTACTGA\n",
      "lcl|NC_000001.11_cds_NP_001005221.2_4 [gene=OR4F29] [db_xref=CCDS:CCDS72675.1,Ensembl:ENSP00000409316.1,GeneID:729759] [protein=olfactory receptor 4F3/4F16/4F29] [protein_id=NP_001005221.2] [location=complement(450740..451678)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_XP_011540840.1_5 [gene=LOC105378947] [db_xref=GeneID:105378947] [protein=proline-rich extensin-like protein EPR1] [protein_id=XP_011540840.1] [location=complement(join(586839..586955,601398..601577,607955..608056,609083..610750,611112..611297))] [gbkey=CDS]\n",
      "ATGCGTAGACACACACATCCTTACTCTGCGCGCATCCCTGGCCTGGTGGACGGAAGATCGAGCGCTCTGGGTGGACTTACGGCCACAGGACGGGGGCAGAGTCGGCAGGGAGGCCCCTCCGAGGCCCAGTGGGCCCTGCGCTGGCCCCGGCCGCAGACGCCCACCTGCTGCTGTGCTGGCTGCGGCCGCCGCCTGCTGGCCACAGAGAGCCCACGTGCGCCGGCCGCCAGGCCTGGGCATCTCCCCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCACCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCTGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCACCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCTGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGTGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCACCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCTGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGTGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCTGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGCGCCGGCCGCCAGGCCTGGGCATCTCCTCTCCTGCAGCGCCGCCTGCTGGCCACAGAGAACCCGCGTGTGCCGGCCGCCAGGCCTGGGCATCTCCCCGGGCCCTAGTTCCCCCCCTCACCTAAGGGGAGGGACTCCCGTCTTTCCATCCACCCCCTCCTTGCCTCTGCAGAGCTCCAGGGAAGGCTGGCACCCGCTCACTGCATTTAGACTCCATCAGGTTCAGACAGTGGGTCAGGGTACAAGGCTTCAGCGGCCAGGGATGTGGCCTCTAATTTGTAGAGAGAAAGAAGGACAGAGGCAAAGGTTTGGGCCCAGGGACTGGGCTCCGTTTCCAGAATCACTCTTGGAGCTGCTCTGCTGCCCCCTGCCCCATACACGTGATGGAGCAGAAAACGTGCTGTGTGAACCTGTGACTTCAGGGCCTGTTGACGTGGTCGTGCTTGCATACTCTCTGGACTGGACCTCACTGTGGGAACAACAAGATCAACAAGAGGAGCAAGAACAACATCAAGAGTCAGGGCCCGGGGGTCCTGACGGGTACAGGATGGGTACAGACCCACACAGGAATCCCAGAGTGTGTTCCACAGCAGGACACGCCTGCGCTGAAAGAGTGGGCAGAAAGGAGCTGACCTGGACCAAACCAATGCACAACTCCTACGTACTGATGGTGGTCTTACGTTTCCCTAAGTTTCTGCCGACTAAACTGTGCACACGTTCTCAGGACCTCCTGAAGCTGCGTCACAGGCGCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857897.1_6 [gene=OR4F16] [db_xref=GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29 isoform X1] [protein_id=XP_016857897.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_XP_016857898.1_7 [gene=OR4F16] [db_xref=GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29 isoform X1] [protein_id=XP_016857898.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_XP_016857899.1_8 [gene=OR4F16] [db_xref=GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29 isoform X1] [protein_id=XP_016857899.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_XP_016857900.1_9 [gene=OR4F16] [db_xref=GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29 isoform X1] [protein_id=XP_016857900.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_XP_024305755.1_10 [gene=OR4F16] [db_xref=GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29 isoform X1] [protein_id=XP_024305755.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_XP_024305760.1_11 [gene=OR4F16] [db_xref=GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29 isoform X1] [protein_id=XP_024305760.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_XP_024305761.1_12 [gene=OR4F16] [db_xref=GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29 isoform X1] [protein_id=XP_024305761.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_NP_001005277.1_13 [gene=OR4F16] [db_xref=CCDS:CCDS41221.1,GeneID:81399] [protein=olfactory receptor 4F3/4F16/4F29] [protein_id=NP_001005277.1] [location=complement(685716..686654)] [gbkey=CDS]\n",
      "ATGGATGGAGAGAATCACTCAGTGGTATCTGAGTTTTTGTTTCTGGGACTCACTCATTCATGGGAGATCCAGCTCCTCCTCCTAGTGTTTTCCTCTGTGCTCTATGTGGCAAGCATTACTGGAAACATCCTCATTGTGTTTTCTGTGACCACTGACCCTCACTTACACTCCCCCATGTACTTTCTACTGGCCAGTCTCTCCTTCATTGACTTAGGAGCCTGCTCTGTCACTTCTCCCAAGATGATTTATGACCTGTTCAGAAAGCGCAAAGTCATCTCCTTTGGAGGCTGCATCGCTCAAATCTTCTTCATCCACGTCGTTGGTGGTGTGGAGATGGTGCTGCTCATAGCCATGGCCTTTGACAGATATGTGGCCCTATGTAAGCCCCTCCACTATCTGACCATTATGAGCCCAAGAATGTGCCTTTCATTTCTGGCTGTTGCCTGGACCCTTGGTGTCAGTCACTCCCTGTTCCAACTGGCATTTCTTGTTAATTTAGCCTTCTGTGGCCCTAATGTGTTGGACAGCTTCTACTGTGACCTTCCTCGGCTTCTCAGACTAGCCTGTACCGACACCTACAGATTGCAGTTCATGGTCACTGTTAACAGTGGGTTTATCTGTGTGGGTACTTTCTTCATACTTCTAATCTCCTACGTCTTCATCCTGTTTACTGTTTGGAAACATTCCTCAGGTGGTTCATCCAAGGCCCTTTCCACTCTTTCAGCTCACAGCACAGTGGTCCTTTTGTTCTTTGGTCCACCCATGTTTGTGTATACACGGCCACACCCTAATTCACAGATGGACAAGTTTCTGGCTATTTTTGATGCAGTTCTCACTCCTTTTCTGAATCCAGTTGTCTATACATTCAGGAATAAGGAGATGAAGGCAGCAATAAAGAGAGTATGCAAACAGCTAGTGATTTACAAGAGGATCTCATAA\n",
      "lcl|NC_000001.11_cds_NP_001372569.1_14 [gene=SAMD11] [db_xref=GeneID:148398] [protein=sterile alpha motif domain-containing protein 11 isoform 2] [protein_id=NP_001372569.1] [location=join(924432..924948,925922..926013,930155..930336,931039..931089,935772..935896,939040..939129,939272..939412,941144..941306,942136..942251,942410..942488,942559..943058,943253..943377,943698..943808,943908..944153)] [gbkey=CDS]\n",
      "ATGCCGGCGGTCAAGAAGGAGTTCCCGGGCCGCGAGGACCTGGCCCTGGCTCTGGCCACGTTCCACCCGACCCTGGCCGCGCTGCCGCTGCCGCCGCTGCCAGGCTACCTGGCGCCACTGCCCGCGGCGGCCGCCCTCCCCCCGGCCGCCTCGCTGCCCGCCTCGGCCGCCGGTTACGAGGCTCTGCTGGCCCCGCCGCTCCGCCCCCCGCGCGCCTACCTCAGCCTGCACGAGGCCGCCCCGCACCTCCACCTGCCCAGGGACCCGCTGGCCCTCGAGCGCTTCTCGGCCACCGCGGCCGCGGCCCCGGATTTCCAGCCGCTGCTGGACAACGGCGAGCCGTGCATCGAGGTGGAGTGCGGCGCCAACCGCGCGCTGCTCTACGTGCGCAAACTCTGCCAGGGCAGCAAGGGCCCGTCCATCCGCCACCGCGGCGAGTGGCTCACGCCCAACGAGTTCCAGTTCGTCAGCGGCCGCGAGACGGCCAAGGACTGGAAGCGCAGCATCCGCCACAAAGGGAAAAGTCTGAAGACGCTTATGTCCAAGGGGATCCTGCAGGTGCATCCTCCGATCTGCGACTGCCCGGGCTGCCGAATATCCTCCCCGGTGAACCGGGGGCGGCTGGCAGACAAGAGGACAGTCGCCCTGCCTGCCGCCCGGAACCTGAAGAAGGAGCGAACTCCCAGCTTCTCTGCCAGCGATGGTGACAGCGACGGGAGTGGCCCCACCTGTGGGCGGCGGCCAGGCTTGAAGCAGGAGGATGGTCCGCACATCCGTATCATGAAGAGAAGAGTCCACACCCACTGGGACGTGAACATCTCTTTCCGAGAGGCGTCCTGCAGCCAGGACGGCAACCTTCCCACCCTCATATCCAGCGTCCACCGCAGCCGCCACCTCGTTATGCCCGAGCATCAGAGCCGCTGTGAATTCCAGAGAGGCAGCCTGGAGATTGGCCTGCGACCCGCCGGTGACCTGTTGGGCAAGAGGCTGGGCCGCTCCCCCCGTATCAGCAGCGACTGCTTTTCAGAGAAGAGGGCACGAAGCGAATCGCCTCAAGCAGAGGCGCTGCTGCTGCCGCGGGAGCTGGGGCCCAGCATGGCCCCGGAGGACCATTACCGCCGGCTTGTGTCAGCACTGAGCGAGGCCAGCACCTTTGAGGACCCTCAGCGCCTCTACCACCTGGGCCTCCCCAGCCACGATCTCCTGAGGGTCCGGCAGGAGGTGGCGGCTGCAGCTCTGAGGGGCCCCAGTGGCCTGGAAGCCCACCTGCCCTCCTCCACGGCAGGTCAGCGTCGGAAGCAGGGCCTGGCTCAGCACCGGGAGGGCGCCGCCCCAGCTGCCGCCCCGTCCTTCTCGGAGAGGGAGCTGCCTCAGCCGCCCCCCTTGCTGTCGCCGCAGAATGCCCCTCACGTCGCCCTGGGCCCCCATCTCAGGCCCCCCTTCCTGGGGGTGCCCTCGGCTCTGTGCCAGACCCCAGGCTACGGCTTCCTGCCCCCCGCGCAGGCGGAGATGTTCGCCTGGCAGCAGGAGCTCCTGCGGAAGCAGAACCTGGCCCGGCTGGAGCTGCCCGCCGACCTCCTGCGGCAGAAGGAGCTGGAGAGCGCGCGCCCACAGCTGCTGGCGCCCGAGACCGCCCTGCGCCCCAACGACGGCGCCGAGGAGCTGCAGCGGCGCGGGGCCCTGCTGGTGCTGAACCACGGCGCGGCGCCACTGCTGGCCCTGCCCCCCCAGGGGCCCCCGGGCTCCGGACCCCCCACCCCGTCCCGGGACTCTGCCCGGCGAGCCCCCCGGAAGGGGGGTCCCGGCCCTGCCTCAGCGCGGCCCAGCGAGTCCAAGGAGATGACGGGGGCTAGGCTCTGGGCACAAGATGGCTCGGAAGACGAGCCCCCCAAAGACTCGGACGGAGAGGACCCCGAGACGGCAGCTGTTGGGTGCAGGGGGCCCACTCCGGGCCAAGCTCCAGCTGGAGGGGCCGGCGCCGAGGGGAAGGGGCTTTTCCCAGGGTCCACACTGCCCCTGGGCTTCCCTTATGCCGTCAGCCCCTACTTCCACACAGGCGCGGTAGGGGGACTCTCCATGGATGGGGAGGAGGCCCCAGCCCCTGAGGACGTCACCAAGTGGACCGTGGATGACGTCTGCAGCTTCGTGGGGGGCCTGTCTGGCTGTGGAGAGTACACTCGGGTCTTCAGGGAGCAGGGGATCGACGGGGAGACCCTGCCACTGCTGACGGAGGAGCACCTGCTGACCAACATGGGGCTGAAGCTGGGGCCCGCCCTCAAGATCCGGGCCCAGGTGGCCAGGCGCCTGGGCCGAGTTTTCTACGTGGCCAGCTTCCCCGTGGCTCTGCCACTGCAGCCACCAACCCTGCGGGCCCCGGAGCGAGAACTCGGCACAGGAGAGCAGCCCTTGTCCCCCACGACGGCCACGTCCCCCTATGGAGGGGGCCACGCCCTTGCCGGTCAAACTTCACCCAAGCAGGAGAATGGGACCTTGGCTCTACTTCCAGGGGCCCCCGACCCTTCCCAGCCTCTGTGTTGA\n",
      "lcl|NC_000001.11_cds_NP_001372570.1_15 [gene=SAMD11] [db_xref=Ensembl:ENSP00000478421.2,GeneID:148398] [protein=sterile alpha motif domain-containing protein 11 isoform 1] [protein_id=NP_001372570.1] [location=join(924432..924948,925922..926013,930155..930336,931039..931089,935772..935896,939040..939129,939275..939412,941144..941306,942136..942251,942410..942488,942559..943058,943253..943377,943698..943808,943908..944153)] [gbkey=CDS]\n",
      "ATGCCGGCGGTCAAGAAGGAGTTCCCGGGCCGCGAGGACCTGGCCCTGGCTCTGGCCACGTTCCACCCGACCCTGGCCGCGCTGCCGCTGCCGCCGCTGCCAGGCTACCTGGCGCCACTGCCCGCGGCGGCCGCCCTCCCCCCGGCCGCCTCGCTGCCCGCCTCGGCCGCCGGTTACGAGGCTCTGCTGGCCCCGCCGCTCCGCCCCCCGCGCGCCTACCTCAGCCTGCACGAGGCCGCCCCGCACCTCCACCTGCCCAGGGACCCGCTGGCCCTCGAGCGCTTCTCGGCCACCGCGGCCGCGGCCCCGGATTTCCAGCCGCTGCTGGACAACGGCGAGCCGTGCATCGAGGTGGAGTGCGGCGCCAACCGCGCGCTGCTCTACGTGCGCAAACTCTGCCAGGGCAGCAAGGGCCCGTCCATCCGCCACCGCGGCGAGTGGCTCACGCCCAACGAGTTCCAGTTCGTCAGCGGCCGCGAGACGGCCAAGGACTGGAAGCGCAGCATCCGCCACAAAGGGAAAAGTCTGAAGACGCTTATGTCCAAGGGGATCCTGCAGGTGCATCCTCCGATCTGCGACTGCCCGGGCTGCCGAATATCCTCCCCGGTGAACCGGGGGCGGCTGGCAGACAAGAGGACAGTCGCCCTGCCTGCCGCCCGGAACCTGAAGAAGGAGCGAACTCCCAGCTTCTCTGCCAGCGATGGTGACAGCGACGGGAGTGGCCCCACCTGTGGGCGGCGGCCAGGCTTGAAGCAGGAGGATGGTCCGCACATCCGTATCATGAAGAGAAGAGTCCACACCCACTGGGACGTGAACATCTCTTTCCGAGAGGCGTCCTGCAGCCAGGACGGCAACCTTCCCACCCTCATATCCAGCGTCCACCGCAGCCGCCACCTCGTTATGCCCGAGCATCAGAGCCGCTGTGAATTCCAGAGAGGCAGCCTGGAGATTGGCCTGCGACCCGCCGGTGACCTGTTGGGCAAGAGGCTGGGCCGCTCCCCCCGTATCAGCAGCGACTGCTTTTCAGAGAAGAGGGCACGAAGCGAATCGCCTCAAGAGGCGCTGCTGCTGCCGCGGGAGCTGGGGCCCAGCATGGCCCCGGAGGACCATTACCGCCGGCTTGTGTCAGCACTGAGCGAGGCCAGCACCTTTGAGGACCCTCAGCGCCTCTACCACCTGGGCCTCCCCAGCCACGATCTCCTGAGGGTCCGGCAGGAGGTGGCGGCTGCAGCTCTGAGGGGCCCCAGTGGCCTGGAAGCCCACCTGCCCTCCTCCACGGCAGGTCAGCGTCGGAAGCAGGGCCTGGCTCAGCACCGGGAGGGCGCCGCCCCAGCTGCCGCCCCGTCCTTCTCGGAGAGGGAGCTGCCTCAGCCGCCCCCCTTGCTGTCGCCGCAGAATGCCCCTCACGTCGCCCTGGGCCCCCATCTCAGGCCCCCCTTCCTGGGGGTGCCCTCGGCTCTGTGCCAGACCCCAGGCTACGGCTTCCTGCCCCCCGCGCAGGCGGAGATGTTCGCCTGGCAGCAGGAGCTCCTGCGGAAGCAGAACCTGGCCCGGCTGGAGCTGCCCGCCGACCTCCTGCGGCAGAAGGAGCTGGAGAGCGCGCGCCCACAGCTGCTGGCGCCCGAGACCGCCCTGCGCCCCAACGACGGCGCCGAGGAGCTGCAGCGGCGCGGGGCCCTGCTGGTGCTGAACCACGGCGCGGCGCCACTGCTGGCCCTGCCCCCCCAGGGGCCCCCGGGCTCCGGACCCCCCACCCCGTCCCGGGACTCTGCCCGGCGAGCCCCCCGGAAGGGGGGTCCCGGCCCTGCCTCAGCGCGGCCCAGCGAGTCCAAGGAGATGACGGGGGCTAGGCTCTGGGCACAAGATGGCTCGGAAGACGAGCCCCCCAAAGACTCGGACGGAGAGGACCCCGAGACGGCAGCTGTTGGGTGCAGGGGGCCCACTCCGGGCCAAGCTCCAGCTGGAGGGGCCGGCGCCGAGGGGAAGGGGCTTTTCCCAGGGTCCACACTGCCCCTGGGCTTCCCTTATGCCGTCAGCCCCTACTTCCACACAGGCGCGGTAGGGGGACTCTCCATGGATGGGGAGGAGGCCCCAGCCCCTGAGGACGTCACCAAGTGGACCGTGGATGACGTCTGCAGCTTCGTGGGGGGCCTGTCTGGCTGTGGAGAGTACACTCGGGTCTTCAGGGAGCAGGGGATCGACGGGGAGACCCTGCCACTGCTGACGGAGGAGCACCTGCTGACCAACATGGGGCTGAAGCTGGGGCCCGCCCTCAAGATCCGGGCCCAGGTGGCCAGGCGCCTGGGCCGAGTTTTCTACGTGGCCAGCTTCCCCGTGGCTCTGCCACTGCAGCCACCAACCCTGCGGGCCCCGGAGCGAGAACTCGGCACAGGAGAGCAGCCCTTGTCCCCCACGACGGCCACGTCCCCCTATGGAGGGGGCCACGCCCTTGCCGGTCAAACTTCACCCAAGCAGGAGAATGGGACCTTGGCTCTACTTCCAGGGGCCCCCGACCCTTCCCAGCCTCTGTGTTGA\n",
      "lcl|NC_000001.11_cds_NP_689699.3_16 [gene=SAMD11] [db_xref=CCDS:CCDS2.2,GeneID:148398] [protein=sterile alpha motif domain-containing protein 11 isoform 3] [protein_id=NP_689699.3] [location=join(925942..926013,930155..930336,931039..931089,935772..935896,939040..939129,939275..939460,941144..941306,942136..942251,942410..942488,942559..943058,943253..943377,943698..943808,943908..944153)] [gbkey=CDS]\n",
      "ATGTCCAAGGGGATCCTGCAGGTGCATCCTCCGATCTGCGACTGCCCGGGCTGCCGAATATCCTCCCCGGTGAACCGGGGGCGGCTGGCAGACAAGAGGACAGTCGCCCTGCCTGCCGCCCGGAACCTGAAGAAGGAGCGAACTCCCAGCTTCTCTGCCAGCGATGGTGACAGCGACGGGAGTGGCCCCACCTGTGGGCGGCGGCCAGGCTTGAAGCAGGAGGATGGTCCGCACATCCGTATCATGAAGAGAAGAGTCCACACCCACTGGGACGTGAACATCTCTTTCCGAGAGGCGTCCTGCAGCCAGGACGGCAACCTTCCCACCCTCATATCCAGCGTCCACCGCAGCCGCCACCTCGTTATGCCCGAGCATCAGAGCCGCTGTGAATTCCAGAGAGGCAGCCTGGAGATTGGCCTGCGACCCGCCGGTGACCTGTTGGGCAAGAGGCTGGGCCGCTCCCCCCGTATCAGCAGCGACTGCTTTTCAGAGAAGAGGGCACGAAGCGAATCGCCTCAAGAGGCGCTGCTGCTGCCGCGGGAGCTGGGGCCCAGCATGGCCCCGGAGGACCATTACCGCCGGCTTGTGTCAGCACTGAGCGAGGCCAGCACCTTTGAGGACCCTCAGCGCCTCTACCACCTGGGCCTCCCCAGCCACGGTGAGGACCCACCCTGGCATGATCCCCCTCATCACCTCCCCAGCCACGATCTCCTGAGGGTCCGGCAGGAGGTGGCGGCTGCAGCTCTGAGGGGCCCCAGTGGCCTGGAAGCCCACCTGCCCTCCTCCACGGCAGGTCAGCGTCGGAAGCAGGGCCTGGCTCAGCACCGGGAGGGCGCCGCCCCAGCTGCCGCCCCGTCCTTCTCGGAGAGGGAGCTGCCTCAGCCGCCCCCCTTGCTGTCGCCGCAGAATGCCCCTCACGTCGCCCTGGGCCCCCATCTCAGGCCCCCCTTCCTGGGGGTGCCCTCGGCTCTGTGCCAGACCCCAGGCTACGGCTTCCTGCCCCCCGCGCAGGCGGAGATGTTCGCCTGGCAGCAGGAGCTCCTGCGGAAGCAGAACCTGGCCCGGCTGGAGCTGCCCGCCGACCTCCTGCGGCAGAAGGAGCTGGAGAGCGCGCGCCCACAGCTGCTGGCGCCCGAGACCGCCCTGCGCCCCAACGACGGCGCCGAGGAGCTGCAGCGGCGCGGGGCCCTGCTGGTGCTGAACCACGGCGCGGCGCCACTGCTGGCCCTGCCCCCCCAGGGGCCCCCGGGCTCCGGACCCCCCACCCCGTCCCGGGACTCTGCCCGGCGAGCCCCCCGGAAGGGGGGTCCCGGCCCTGCCTCAGCGCGGCCCAGCGAGTCCAAGGAGATGACGGGGGCTAGGCTCTGGGCACAAGATGGCTCGGAAGACGAGCCCCCCAAAGACTCGGACGGAGAGGACCCCGAGACGGCAGCTGTTGGGTGCAGGGGGCCCACTCCGGGCCAAGCTCCAGCTGGAGGGGCCGGCGCCGAGGGGAAGGGGCTTTTCCCAGGGTCCACACTGCCCCTGGGCTTCCCTTATGCCGTCAGCCCCTACTTCCACACAGGCGCGGTAGGGGGACTCTCCATGGATGGGGAGGAGGCCCCAGCCCCTGAGGACGTCACCAAGTGGACCGTGGATGACGTCTGCAGCTTCGTGGGGGGCCTGTCTGGCTGTGGAGAGTACACTCGGGTCTTCAGGGAGCAGGGGATCGACGGGGAGACCCTGCCACTGCTGACGGAGGAGCACCTGCTGACCAACATGGGGCTGAAGCTGGGGCCCGCCCTCAAGATCCGGGCCCAGGTGGCCAGGCGCCTGGGCCGAGTTTTCTACGTGGCCAGCTTCCCCGTGGCTCTGCCACTGCAGCCACCAACCCTGCGGGCCCCGGAGCGAGAACTCGGCACAGGAGAGCAGCCCTTGTCCCCCACGACGGCCACGTCCCCCTATGGAGGGGGCCACGCCCTTGCCGGTCAAACTTCACCCAAGCAGGAGAATGGGACCTTGGCTCTACTTCCAGGGGCCCCCGACCCTTCCCAGCCTCTGTGTTGA\n",
      "lcl|NC_000001.11_cds_NP_056473.3_17 [gene=NOC2L] [db_xref=CCDS:CCDS3.1,Ensembl:ENSP00000317992.6,GeneID:26155] [protein=nucleolar complex protein 2 homolog] [protein_id=NP_056473.3] [location=complement(join(944694..944800,945057..945146,945518..945653,946173..946286,946402..946545,948131..948232,948490..948603,951127..951238,952000..952139,952412..952600,953175..953288,953782..953892,954004..954082,955923..956013,956095..956215,956894..957025,957099..957273,958929..959081,959215..959240))] [gbkey=CDS]\n",
      "ATGGCAGCTGCGGGGAGCCGCAAGAGGCGCCTGGCGGAGCTGACGGTGGACGAGTTCCTAGCTTCGGGCTTTGACTCCGAGTCCGAATCCGAGTCCGAAAATTCTCCACAAGCGGAGACACGGGAAGCACGCGAGGCTGCCCGGAGTCCGGATAAGCCGGGCGGGAGCCCCTCGGCCAGCCGGCGTAAAGGCCGTGCCTCTGAGCACAAAGACCAGCTCTCTCGGCTGAAGGACAGAGACCCCGAGTTCTACAAGTTCCTGCAGGAGAATGACCAGAGCCTGCTAAACTTCAGCGACTCGGACAGCTCTGAGGAGGAAGAGGGGCCGTTCCACTCCCTGCCAGATGTGCTGGAGGAAGCCAGTGAGGAGGAGGATGGAGCGGAGGAAGGAGAAGATGGGGACAGAGTCCCCAGAGGGCTGAAGGGGAAGAAGAATTCTGTTCCTGTGACCGTCGCCATGGTTGAGAGATGGAAGCAGGCAGCAAAGCAACGCCTCACTCCAAAGCTGTTCCATGAAGTGGTACAGGCGTTCCGAGCAGCTGTGGCCACCACCCGAGGGGACCAGGAAAGTGCTGAGGCCAACAAATTCCAGGTCACGGACAGTGCTGCATTCAATGCTCTGGTTACCTTCTGCATCAGAGACCTCATTGGCTGTCTCCAGAAGCTGCTGTTTGGAAAGGTGGCAAAGGATAGCAGCAGGATGCTGCAGCCGTCCAGCAGCCCGCTCTGGGGGAAGCTTCGTGTGGACATCAAGGCTTACCTGGGCTCGGCCATACAGCTGGTGTCCTGTCTGTCGGAGACGACGGTGTTGGCGGCCGTGCTGCGGCACATCAGCGTGCTGGTGCCCTGCTTCCTGACCTTCCCCAAGCAGTGCCGCATGCTGCTCAAGAGAATGGTGATCGTATGGAGCACTGGGGAAGAGTCTCTGCGGGTGCTGGCTTTCCTGGTCCTCAGCAGAGTCTGCCGGCACAAGAAGGACACTTTCCTTGGCCCCGTCCTCAAGCAAATGTACATCACGTATGTGAGGAACTGCAAGTTCACCTCGCCTGGTGCCCTCCCCTTCATCAGTTTCATGCAGTGGACCTTGACGGAGCTGCTGGCCCTGGAGCCGGGTGTGGCCTACCAGCACGCCTTCCTCTACATCCGCCAGCTCGCCATACACCTGCGCAACGCCATGACCACTCGCAAGAAGGAAACATACCAGTCTGTGTACAACTGGCAGTATGTGCACTGCCTCTTCCTGTGGTGCCGGGTCCTGAGCACTGCGGGCCCCAGCGAAGCCCTCCAGCCCTTGGTCTACCCCCTTGCCCAAGTCATCATTGGCTGTATCAAGCTCATCCCCACTGCCCGCTTCTACCCGCTGCGAATGCACTGCATCCGTGCCCTGACGCTGCTCTCGGGGAGCTCGGGGGCCTTCATCCCGGTGCTGCCTTTCATCCTGGAGATGTTCCAGCAGGTCGACTTCAACAGGAAGCCAGGGCGCATGAGCTCCAAGCCCATCAACTTCTCCGTGATCCTGAAGCTGTCCAATGTCAACCTGCAGGAGAAGGCGTACCGGGACGGCCTGGTGGAGCAGCTGTACGACCTCACCCTGGAGTACCTGCACAGCCAGGCACACTGCATCGGCTTCCCGGAGCTGGTGCTGCCTGTGGTCCTGCAGCTGAAGTCGTTCCTCCGGGAGTGCAAGGTGGCCAACTACTGCCGGCAGGTGCAGCAGCTGCTTGGGAAGGTTCAGGAGAACTCGGCATACATCTGCAGCCGCCGCCAGAGGGTTTCCTTCGGCGTCTCTGAGCAGCAGGCAGTGGAAGCCTGGGAGAAGCTGACCCGGGAAGAGGGGACACCCCTGACCTTGTACTACAGCCACTGGCGCAAGCTGCGTGACCGGGAGATCCAGCTGGAGATCAGTGGCAAAGAGCGGCTGGAAGACCTGAACTTCCCTGAGATCAAACGAAGGAAGATGGCTGACAGGAAGGATGAGGACAGGAAGCAATTTAAAGACCTCTTTGACCTGAACAGCTCTGAAGAGGACGACACCGAGGGATTCTCGGAGAGAGGGATACTGAGGCCCCTGAGCACTCGGCATGGGGTGGAAGACGATGAAGAGGACGAGGAGGAGGGCGAGGAGGACAGCAGCAACTCGGAGGATGGAGACCCAGACGCAGAGGCGGGGCTGGCCCCTGGGGAGCTGCAGCAGCTGGCCCAGGGGCCGGAGGACGAGCTGGAGGATCTGCAGCTCTCAGAGGACGACTGA\n",
      "lcl|NC_000001.11_cds_XP_006710663.1_18 [gene=KLHL17] [db_xref=GeneID:339451] [protein=kelch-like protein 17 isoform X1] [protein_id=XP_006710663.1] [location=join(960694..960800,961293..961552,961629..961750,961826..962047,962286..962471,962704..962917,963109..963253,963337..963504,963920..964008,964107..964180,964349..964530,964963..965191)] [gbkey=CDS]\n",
      "ATGCAGCCCCGCAGCGAGCGCCCGGCCGGCAGGACGCAGAGCCCGGAGCACGGCAGCCCGGGGCCCGGGCCCGAGGCGCCGCCGCCTCCACCGCCGCAGCCGCCGGCCCCCGAGGCAGAGCGCACGCGGCCCCGGCAGGCTCGGCCCGCAGCCCCCATGGAGGGAGCCGTGCAGCTGCTGAGCCGCGAGGGCCACAGCGTGGCCCACAACTCCAAGCGGCACTACCACGATGCCTTCGTGGCCATGAGCCGCATGCGCCAGCGCGGCCTCCTGTGCGACATCGTCCTGCACGTGGCTGCCAAGGAGATCCGTGCGCACAAAGTGGTGCTGGCCTCCTGCAGCCCCTACTTCCACGCCATGTTCACAAATGAGATGAGCGAGAGCCGCCAGACCCACGTGACGCTGCACGACATCGACCCTCAGGCCTTGGACCAGCTGGTGCAGTTTGCCTACACGGCTGAGATTGTGGTGGGCGAGGGCAATGTGCAGACTCTGCTCCCAGCCGCCAGTCTCCTGCAGCTGAATGGCGTCCGAGACGCTTGCTGCAAGTTTCTACTGAGTCAGCTCGACCCCTCCAACTGCCTGGGTATCCGGGGCTTTGCCGATGCGCACTCCTGCAGCGACCTGCTCAAGGCCGCCCACAGGTACGTGCTGCAGCACTTCGTGGACGTGGCCAAGACCGAGGAGTTTATGCTGCTGCCCCTGAAACAGGCATCTTCAGGGCTCCCTGGGTCCACAGGACCCTCCCCAGATCTCAGGTCTGAGGACCCCCACTCCCAGGTTCTGGAACTGGTCTCTAGCGACAGCCTGAACGTGCCTTCAGAGGAGGAGGTCTACCGAGCCGTCCTGAGCTGGGTGAAACACGACGTGGACGCCCGCAGGCAGCATGTCCCACGGCTCATGAAGTGTGTGCGGCTGCCCTTGCTGAGCCGCGACTTCCTGCTGGGCCACGTGGATGCCGAGAGCCTGGTGAGGCACCACCCTGACTGCAAGGACCTCCTCATCGAGGCCCTGAAGTTCCACCTGCTGCCTGAGCAGAGGGGCGTCCTAGGCACCAGCCGCACACGTCCCCGGCGCTGCGAGGGGGCCGGGCCTGTGCTTTTTGCTGTGGGCGGCGGGAGCCTGTTTGCCATCCACGGAGACTGTGAGGCCTACGACACGCGCACCGACCGCTGGCACGTGGTGGCCTCCATGTCCACGCGCCGGGCCCGGGTGGGAGTGGCTGCGGTGGGGAACCGGCTCTATGCTGTGGGCGGCTATGATGGGACCTCAGACCTGGCTACCGTGGAGTCCTACGACCCCGTGACTAACACGTGGCAGCCGGAGGTGTCCATGGGCACAAGGCGAAGCTGCCTGGGTGTGGCCGCCTTGCATGGACTCCTGTACTCGGCCGGCGGCTATGACGGGGCCTCCTGCCTGAACAGTGCTGAACGCTACGACCCCCTGACCGGAACGTGGACGTCCGTCGCTGCCATGAGCACCCGGAGGCGCTATGTGCGAGTGGCCACGCTTGATGGGAACCTGTATGCTGTGGGCGGCTACGACAGCTCCTCACACCTGGCCACTGTGGAGAAGTATGAGCCCCAGGTGAACGTGTGGTCGCCCGTGGCGTCCATGCTGAGCCGACGCAGCTCAGCGGGCGTGGCCGTGCTGGAGGGTGCCCTGTACGTGGCAGGGGGCAACGACGGCACCAGCTGCCTCAACTCGGTAGAGAGATACAGTCCAAAGGCTGGAGCCTGGGAAAGCGTGGCGCCCATGAATATCCGCAGGAGCACGCATGACCTGGTGGCCATGGACGGATGGTTGTACGCCGTGGGGGGTAACGACGGTAGCTCCAGCCTCAACTCCATCGAGAAGTACAACCCGAGGACCAACAAGTGGGTGGCCGCATCCTGCATGTTCACCCGGCGCAGCAGTGTGGGTGTGGCGGTGCTGGAGCTGCTCAATTTCCCGCCGCCATCCTCCCCGACGCTGTCCGTGTCCTCCACCAGCCTCTGA\n",
      "lcl|NC_000001.11_cds_NP_938073.1_19 [gene=KLHL17] [db_xref=CCDS:CCDS30550.1,Ensembl:ENSP00000343930.3,GeneID:339451] [protein=kelch-like protein 17] [protein_id=NP_938073.1] [location=join(960694..960800,961293..961552,961629..961750,961826..962047,962355..962471,962704..962917,963109..963253,963337..963504,963920..964008,964107..964180,964349..964530,964963..965191)] [gbkey=CDS]\n",
      "ATGCAGCCCCGCAGCGAGCGCCCGGCCGGCAGGACGCAGAGCCCGGAGCACGGCAGCCCGGGGCCCGGGCCCGAGGCGCCGCCGCCTCCACCGCCGCAGCCGCCGGCCCCCGAGGCAGAGCGCACGCGGCCCCGGCAGGCTCGGCCCGCAGCCCCCATGGAGGGAGCCGTGCAGCTGCTGAGCCGCGAGGGCCACAGCGTGGCCCACAACTCCAAGCGGCACTACCACGATGCCTTCGTGGCCATGAGCCGCATGCGCCAGCGCGGCCTCCTGTGCGACATCGTCCTGCACGTGGCTGCCAAGGAGATCCGTGCGCACAAAGTGGTGCTGGCCTCCTGCAGCCCCTACTTCCACGCCATGTTCACAAATGAGATGAGCGAGAGCCGCCAGACCCACGTGACGCTGCACGACATCGACCCTCAGGCCTTGGACCAGCTGGTGCAGTTTGCCTACACGGCTGAGATTGTGGTGGGCGAGGGCAATGTGCAGACTCTGCTCCCAGCCGCCAGTCTCCTGCAGCTGAATGGCGTCCGAGACGCTTGCTGCAAGTTTCTACTGAGTCAGCTCGACCCCTCCAACTGCCTGGGTATCCGGGGCTTTGCCGATGCGCACTCCTGCAGCGACCTGCTCAAGGCCGCCCACAGGTACGTGCTGCAGCACTTCGTGGACGTGGCCAAGACCGAGGAGTTTATGCTGCTGCCCCTGAAACAGGTTCTGGAACTGGTCTCTAGCGACAGCCTGAACGTGCCTTCAGAGGAGGAGGTCTACCGAGCCGTCCTGAGCTGGGTGAAACACGACGTGGACGCCCGCAGGCAGCATGTCCCACGGCTCATGAAGTGTGTGCGGCTGCCCTTGCTGAGCCGCGACTTCCTGCTGGGCCACGTGGATGCCGAGAGCCTGGTGAGGCACCACCCTGACTGCAAGGACCTCCTCATCGAGGCCCTGAAGTTCCACCTGCTGCCTGAGCAGAGGGGCGTCCTAGGCACCAGCCGCACACGTCCCCGGCGCTGCGAGGGGGCCGGGCCTGTGCTTTTTGCTGTGGGCGGCGGGAGCCTGTTTGCCATCCACGGAGACTGTGAGGCCTACGACACGCGCACCGACCGCTGGCACGTGGTGGCCTCCATGTCCACGCGCCGGGCCCGGGTGGGAGTGGCTGCGGTGGGGAACCGGCTCTATGCTGTGGGCGGCTATGATGGGACCTCAGACCTGGCTACCGTGGAGTCCTACGACCCCGTGACTAACACGTGGCAGCCGGAGGTGTCCATGGGCACAAGGCGAAGCTGCCTGGGTGTGGCCGCCTTGCATGGACTCCTGTACTCGGCCGGCGGCTATGACGGGGCCTCCTGCCTGAACAGTGCTGAACGCTACGACCCCCTGACCGGAACGTGGACGTCCGTCGCTGCCATGAGCACCCGGAGGCGCTATGTGCGAGTGGCCACGCTTGATGGGAACCTGTATGCTGTGGGCGGCTACGACAGCTCCTCACACCTGGCCACTGTGGAGAAGTATGAGCCCCAGGTGAACGTGTGGTCGCCCGTGGCGTCCATGCTGAGCCGACGCAGCTCAGCGGGCGTGGCCGTGCTGGAGGGTGCCCTGTACGTGGCAGGGGGCAACGACGGCACCAGCTGCCTCAACTCGGTAGAGAGATACAGTCCAAAGGCTGGAGCCTGGGAAAGCGTGGCGCCCATGAATATCCGCAGGAGCACGCATGACCTGGTGGCCATGGACGGATGGTTGTACGCCGTGGGGGGTAACGACGGTAGCTCCAGCCTCAACTCCATCGAGAAGTACAACCCGAGGACCAACAAGTGGGTGGCCGCATCCTGCATGTTCACCCGGCGCAGCAGTGTGGGTGTGGCGGTGCTGGAGCTGCTCAATTTCCCGCCGCCATCCTCCCCGACGCTGTCCGTGTCCTCCACCAGCCTCTGA\n",
      "lcl|NC_000001.11_cds_XP_006710664.1_20 [gene=KLHL17] [db_xref=GeneID:339451] [protein=kelch-like protein 17 isoform X2] [protein_id=XP_006710664.1] [location=join(960694..960800,961293..961552,961629..961750,961826..962047,962286..962471,962704..962917,963032..963312)] [gbkey=CDS]\n",
      "ATGCAGCCCCGCAGCGAGCGCCCGGCCGGCAGGACGCAGAGCCCGGAGCACGGCAGCCCGGGGCCCGGGCCCGAGGCGCCGCCGCCTCCACCGCCGCAGCCGCCGGCCCCCGAGGCAGAGCGCACGCGGCCCCGGCAGGCTCGGCCCGCAGCCCCCATGGAGGGAGCCGTGCAGCTGCTGAGCCGCGAGGGCCACAGCGTGGCCCACAACTCCAAGCGGCACTACCACGATGCCTTCGTGGCCATGAGCCGCATGCGCCAGCGCGGCCTCCTGTGCGACATCGTCCTGCACGTGGCTGCCAAGGAGATCCGTGCGCACAAAGTGGTGCTGGCCTCCTGCAGCCCCTACTTCCACGCCATGTTCACAAATGAGATGAGCGAGAGCCGCCAGACCCACGTGACGCTGCACGACATCGACCCTCAGGCCTTGGACCAGCTGGTGCAGTTTGCCTACACGGCTGAGATTGTGGTGGGCGAGGGCAATGTGCAGACTCTGCTCCCAGCCGCCAGTCTCCTGCAGCTGAATGGCGTCCGAGACGCTTGCTGCAAGTTTCTACTGAGTCAGCTCGACCCCTCCAACTGCCTGGGTATCCGGGGCTTTGCCGATGCGCACTCCTGCAGCGACCTGCTCAAGGCCGCCCACAGGTACGTGCTGCAGCACTTCGTGGACGTGGCCAAGACCGAGGAGTTTATGCTGCTGCCCCTGAAACAGGCATCTTCAGGGCTCCCTGGGTCCACAGGACCCTCCCCAGATCTCAGGTCTGAGGACCCCCACTCCCAGGTTCTGGAACTGGTCTCTAGCGACAGCCTGAACGTGCCTTCAGAGGAGGAGGTCTACCGAGCCGTCCTGAGCTGGGTGAAACACGACGTGGACGCCCGCAGGCAGCATGTCCCACGGCTCATGAAGTGTGTGCGGCTGCCCTTGCTGAGCCGCGACTTCCTGCTGGGCCACGTGGATGCCGAGAGCCTGGTGAGGCACCACCCTGACTGCAAGGACCTCCTCATCGAGGCCCTGAAGTTCCACCTGCTGCCTGAGCAGAGGGGCGTCCTAGGCACCAGCCGCACACGTCCCCGGCGCTGCGAGGGGGCCGGGCCTGTGCTTTTTGCTGTGGGGGCCTCTCCAGGAGCCTGGGGTGTGGCCCAGCAGTGGGATCCACTCACGAGTCCCGTCTCCACCTGCCCTCCCCAGGCGGCGGGAGCCTGTTTGCCATCCACGGAGACTGTGAGGCCTACGACACGCGCACCGACCGCTGGCACGTGGTGGCCTCCATGTCCACGCGCCGGGCCCGGGTGGGAGTGGCTGCGGTGGGGAACCGGCTCTATGCTGTGGGCGGGTAAGCCTGGAGGCTGGACTTGGGTCGGGTCTGGCACGTGCCCGCCAGGCCAGTCTTGA\n",
      "lcl|NC_000001.11_cds_XP_011540550.2_21 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform X1] [protein_id=XP_011540550.2] [location=join(966208..966614,966704..966803,970277..970423,970521..970601,970686..971006,971077..971208,971324..971404,972075..972150,972288..972424,972861..973010,973186..973326,973500..973640,973833..974051,974316..974364,974442..974575)] [gbkey=CDS]\n",
      "ATGTGTGGGCACGTTGTCCCGGGGGGCCTGGAAGGTCGCCCCGGGTTCACCAAGCCGGAGCACAAGCAGGTGGGGTACCTCTGCACACTGGAGGCCTCGTCTGGGCCAGAGGGGTGCTTGCCCCAAGGCTGGCCTCTCGAGTGGAGGGCCCAGGGCAGAGACCTGCACGGCTCAGGTAGGGGCCAGGCCTCTTCCAGAAAGGCTCCACCCTCGCCCAGGCCCTGGTGCCGGGCGGGACGTCCCGGAGCCCCGCCTGCCCGCGGGAGGCGGGGGCAGGAGGCTGTGGACAGGGACCCAGACTTGCCGACCTGTACGACTCTGGCCATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGTGTTTGGGATGCTTCCCGGGCCCCCAGAGGCACTCCTGACCCAGGACTTGGAGAGGGGCCTGCCCTGTGGCTGCGGAGCACGTGTGTGTATGTGTGTGCCCTCTCTGCCCTGCCCGCAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGTTATGGGCAGTGGCCGAGGCTCACTCTCCTCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGGACCAGGCCAACTCTGACCGTGCCAGCATTGGCCGACGGAGGACCGAGCTGAGACGCAGTGGCAGCAGCCGGTCACCCGGGAGCAAGGCCCGGGCAGAGGGCCGCGGCCCTGTCACCCCACTGCACCTGGACCTGACCCAGCTGCACAGGCTGAGCCTGGAGAGCAGCCCAGATGCCCCTGACCACACTTCGGAAACATCACACTCGCCCCTCTATGCCGACCCCTACACACCACCCGCCACCTCCCACCGCAGGGTCACAGATGTCCGGGGCCTGGAGGAGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGACAGATGGTCGGTCCCCCAGGAGGAGCCGGGACCCCGGCTACGACCACCTCTGGGACGAGACTTTGTCTTCCTCCCACCAGAAGTGCCCCCAGCTTGGAGGGCCTGAGGCCAGTGGGGGGCTTGTGCAGTGGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857964.1_22 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform X4] [protein_id=XP_016857964.1] [location=join(966208..966614,966704..966803,970277..970423,970521..970601,970686..971006,971077..971208,971324..971404,972075..972150,972288..972424,972861..973010,973186..973326,973833..974051,974316..974364,974442..974575)] [gbkey=CDS]\n",
      "ATGTGTGGGCACGTTGTCCCGGGGGGCCTGGAAGGTCGCCCCGGGTTCACCAAGCCGGAGCACAAGCAGGTGGGGTACCTCTGCACACTGGAGGCCTCGTCTGGGCCAGAGGGGTGCTTGCCCCAAGGCTGGCCTCTCGAGTGGAGGGCCCAGGGCAGAGACCTGCACGGCTCAGGTAGGGGCCAGGCCTCTTCCAGAAAGGCTCCACCCTCGCCCAGGCCCTGGTGCCGGGCGGGACGTCCCGGAGCCCCGCCTGCCCGCGGGAGGCGGGGGCAGGAGGCTGTGGACAGGGACCCAGACTTGCCGACCTGTACGACTCTGGCCATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGTGTTTGGGATGCTTCCCGGGCCCCCAGAGGCACTCCTGACCCAGGACTTGGAGAGGGGCCTGCCCTGTGGCTGCGGAGCACGTGTGTGTATGTGTGTGCCCTCTCTGCCCTGCCCGCAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGTTATGGGCAGTGGCCGAGGCTCACTCTCCTCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGGACCAGGCCAACTCTGACCGTGCCAGCATTGGCCGACGGAGGACCGAGCTGAGACGCAGTGGCAGCAGCCGGTCACCCGGGAGCAAGGCCCGGGCAGAGGGCCGCGGCCCTGTCACCCCACTGCACCTGGACCTGACCCAGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGACAGATGGTCGGTCCCCCAGGAGGAGCCGGGACCCCGGCTACGACCACCTCTGGGACGAGACTTTGTCTTCCTCCCACCAGAAGTGCCCCCAGCTTGGAGGGCCTGAGGCCAGTGGGGGGCTTGTGCAGTGGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857963.1_23 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform X3] [protein_id=XP_016857963.1] [location=join(966208..966614,966704..966803,970277..970423,970521..970601,970686..971006,971077..971208,971324..971404,972075..972150,972288..972424,972861..973010,973500..973640,973833..974051,974316..974364,974442..974575)] [gbkey=CDS]\n",
      "ATGTGTGGGCACGTTGTCCCGGGGGGCCTGGAAGGTCGCCCCGGGTTCACCAAGCCGGAGCACAAGCAGGTGGGGTACCTCTGCACACTGGAGGCCTCGTCTGGGCCAGAGGGGTGCTTGCCCCAAGGCTGGCCTCTCGAGTGGAGGGCCCAGGGCAGAGACCTGCACGGCTCAGGTAGGGGCCAGGCCTCTTCCAGAAAGGCTCCACCCTCGCCCAGGCCCTGGTGCCGGGCGGGACGTCCCGGAGCCCCGCCTGCCCGCGGGAGGCGGGGGCAGGAGGCTGTGGACAGGGACCCAGACTTGCCGACCTGTACGACTCTGGCCATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGTGTTTGGGATGCTTCCCGGGCCCCCAGAGGCACTCCTGACCCAGGACTTGGAGAGGGGCCTGCCCTGTGGCTGCGGAGCACGTGTGTGTATGTGTGTGCCCTCTCTGCCCTGCCCGCAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGTTATGGGCAGTGGCCGAGGCTCACTCTCCTCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGCTGCACAGGCTGAGCCTGGAGAGCAGCCCAGATGCCCCTGACCACACTTCGGAAACATCACACTCGCCCCTCTATGCCGACCCCTACACACCACCCGCCACCTCCCACCGCAGGGTCACAGATGTCCGGGGCCTGGAGGAGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGACAGATGGTCGGTCCCCCAGGAGGAGCCGGGACCCCGGCTACGACCACCTCTGGGACGAGACTTTGTCTTCCTCCCACCAGAAGTGCCCCCAGCTTGGAGGGCCTGAGGCCAGTGGGGGGCTTGTGCAGTGGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857965.1_24 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform X5] [protein_id=XP_016857965.1] [location=join(966208..966614,966704..966803,970277..970423,970521..970601,970686..971006,971077..971208,971324..971404,972075..972150,972288..972424,972861..973010,973833..974051,974316..974364,974442..974575)] [gbkey=CDS]\n",
      "ATGTGTGGGCACGTTGTCCCGGGGGGCCTGGAAGGTCGCCCCGGGTTCACCAAGCCGGAGCACAAGCAGGTGGGGTACCTCTGCACACTGGAGGCCTCGTCTGGGCCAGAGGGGTGCTTGCCCCAAGGCTGGCCTCTCGAGTGGAGGGCCCAGGGCAGAGACCTGCACGGCTCAGGTAGGGGCCAGGCCTCTTCCAGAAAGGCTCCACCCTCGCCCAGGCCCTGGTGCCGGGCGGGACGTCCCGGAGCCCCGCCTGCCCGCGGGAGGCGGGGGCAGGAGGCTGTGGACAGGGACCCAGACTTGCCGACCTGTACGACTCTGGCCATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGTGTTTGGGATGCTTCCCGGGCCCCCAGAGGCACTCCTGACCCAGGACTTGGAGAGGGGCCTGCCCTGTGGCTGCGGAGCACGTGTGTGTATGTGTGTGCCCTCTCTGCCCTGCCCGCAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGTTATGGGCAGTGGCCGAGGCTCACTCTCCTCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGACAGATGGTCGGTCCCCCAGGAGGAGCCGGGACCCCGGCTACGACCACCTCTGGGACGAGACTTTGTCTTCCTCCCACCAGAAGTGCCCCCAGCTTGGAGGGCCTGAGGCCAGTGGGGGGCTTGTGCAGTGGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857966.1_25 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform X6] [protein_id=XP_016857966.1] [location=join(966208..966614,966704..966803,970277..970423,970521..970601,970686..971006,971077..971208,971324..971404,972075..972150,972288..972424,972895..973010,973833..974051,974316..974361)] [gbkey=CDS]\n",
      "ATGTGTGGGCACGTTGTCCCGGGGGGCCTGGAAGGTCGCCCCGGGTTCACCAAGCCGGAGCACAAGCAGGTGGGGTACCTCTGCACACTGGAGGCCTCGTCTGGGCCAGAGGGGTGCTTGCCCCAAGGCTGGCCTCTCGAGTGGAGGGCCCAGGGCAGAGACCTGCACGGCTCAGGTAGGGGCCAGGCCTCTTCCAGAAAGGCTCCACCCTCGCCCAGGCCCTGGTGCCGGGCGGGACGTCCCGGAGCCCCGCCTGCCCGCGGGAGGCGGGGGCAGGAGGCTGTGGACAGGGACCCAGACTTGCCGACCTGTACGACTCTGGCCATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGTGTTTGGGATGCTTCCCGGGCCCCCAGAGGCACTCCTGACCCAGGACTTGGAGAGGGGCCTGCCCTGTGGCTGCGGAGCACGTGTGTGTATGTGTGTGCCCTCTCTGCCCTGCCCGCAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857967.1_26 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform X7] [protein_id=XP_016857967.1] [location=join(966208..966614,966704..966803,970277..970423,970521..970601,970686..971006,971077..971208,971324..971404,972075..972150,972288..972424,972895..973010,973500..973512)] [gbkey=CDS]\n",
      "ATGTGTGGGCACGTTGTCCCGGGGGGCCTGGAAGGTCGCCCCGGGTTCACCAAGCCGGAGCACAAGCAGGTGGGGTACCTCTGCACACTGGAGGCCTCGTCTGGGCCAGAGGGGTGCTTGCCCCAAGGCTGGCCTCTCGAGTGGAGGGCCCAGGGCAGAGACCTGCACGGCTCAGGTAGGGGCCAGGCCTCTTCCAGAAAGGCTCCACCCTCGCCCAGGCCCTGGTGCCGGGCGGGACGTCCCGGAGCCCCGCCTGCCCGCGGGAGGCGGGGGCAGGAGGCTGTGGACAGGGACCCAGACTTGCCGACCTGTACGACTCTGGCCATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGTGTTTGGGATGCTTCCCGGGCCCCCAGAGGCACTCCTGACCCAGGACTTGGAGAGGGGCCTGCCCTGTGGCTGCGGAGCACGTGTGTGTATGTGTGTGCCCTCTCTGCCCTGCCCGCAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGCTGCACAGGCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857968.1_27 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform X8] [protein_id=XP_016857968.1] [location=join(966208..966614,966704..966803,970277..970423,970521..970601,970686..971006,971077..971219,971324..971404,972075..972144)] [gbkey=CDS]\n",
      "ATGTGTGGGCACGTTGTCCCGGGGGGCCTGGAAGGTCGCCCCGGGTTCACCAAGCCGGAGCACAAGCAGGTGGGGTACCTCTGCACACTGGAGGCCTCGTCTGGGCCAGAGGGGTGCTTGCCCCAAGGCTGGCCTCTCGAGTGGAGGGCCCAGGGCAGAGACCTGCACGGCTCAGGTAGGGGCCAGGCCTCTTCCAGAAAGGCTCCACCCTCGCCCAGGCCCTGGTGCCGGGCGGGACGTCCCGGAGCCCCGCCTGCCCGCGGGAGGCGGGGGCAGGAGGCTGTGGACAGGGACCCAGACTTGCCGACCTGTACGACTCTGGCCATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGTGTTTGGGATGCTTCCCGGGCCCCCAGAGGCACTCCTGACCCAGGACTTGGAGAGGGGCCTGCCCTGTGGCTGCGGAGCACGTGTGTGTATGTGTGTGCCCTCTCTGCCCTGCCCGCAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGTGGGTGGGAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGA\n",
      "lcl|NC_000001.11_cds_NP_001354481.1_28 [gene=PLEKHN1] [db_xref=GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform c] [protein_id=NP_001354481.1] [location=join(966532..966614,966704..966803,970277..970423,970521..970601,970686..970758,970879..971006,971077..971208,971324..971404,972075..972150,972288..972424,972861..973010,973186..973326,973500..973640,973833..974051,974316..974364,974442..974575)] [gbkey=CDS]\n",
      "ATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGTTATGGGCAGTGGCCGAGGCTCACTCTCCTCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGGACCAGGCCAACTCTGACCGTGCCAGCATTGGCCGACGGAGGACCGAGCTGAGACGCAGTGGCAGCAGCCGGTCACCCGGGAGCAAGGCCCGGGCAGAGGGCCGCGGCCCTGTCACCCCACTGCACCTGGACCTGACCCAGCTGCACAGGCTGAGCCTGGAGAGCAGCCCAGATGCCCCTGACCACACTTCGGAAACATCACACTCGCCCCTCTATGCCGACCCCTACACACCACCCGCCACCTCCCACCGCAGGGTCACAGATGTCCGGGGCCTGGAGGAGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGACAGATGGTCGGTCCCCCAGGAGGAGCCGGGACCCCGGCTACGACCACCTCTGGGACGAGACTTTGTCTTCCTCCCACCAGAAGTGCCCCCAGCTTGGAGGGCCTGAGGCCAGTGGGGGGCTTGTGCAGTGGATCTGA\n",
      "lcl|NC_000001.11_cds_NP_001153656.1_29 [gene=PLEKHN1] [db_xref=CCDS:CCDS53256.1,GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform b] [protein_id=NP_001153656.1] [location=join(966532..966614,966704..966803,970277..970423,970521..970601,970686..970758,970879..971006,971077..971208,971324..971404,972075..972150,972288..972424,972861..973010,973500..973640,973833..974051,974316..974364,974442..974575)] [gbkey=CDS]\n",
      "ATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGGGGTCCTGCGGAGACGAACTCCCCTGGACTTTGCAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGTTATGGGCAGTGGCCGAGGCTCACTCTCCTCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGCTGCACAGGCTGAGCCTGGAGAGCAGCCCAGATGCCCCTGACCACACTTCGGAAACATCACACTCGCCCCTCTATGCCGACCCCTACACACCACCCGCCACCTCCCACCGCAGGGTCACAGATGTCCGGGGCCTGGAGGAGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGACAGATGGTCGGTCCCCCAGGAGGAGCCGGGACCCCGGCTACGACCACCTCTGGGACGAGACTTTGTCTTCCTCCCACCAGAAGTGCCCCCAGCTTGGAGGGCCTGAGGCCAGTGGGGGGCTTGTGCAGTGGATCTGA\n",
      "lcl|NC_000001.11_cds_NP_115505.2_30 [gene=PLEKHN1] [db_xref=CCDS:CCDS4.1,Ensembl:ENSP00000368720.3,GeneID:84069] [protein=pleckstrin homology domain-containing family N member 1 isoform a] [protein_id=NP_115505.2] [location=join(966532..966614,966704..966803,970277..970423,970521..970601,970686..970758,970879..971006,971113..971208,971324..971404,972075..972150,972288..972424,972861..973010,973186..973326,973500..973640,973833..974051,974316..974364,974442..974575)] [gbkey=CDS]\n",
      "ATGGGGAACAGCCACTGTGTCCCTCAGGCCCCCAGGAGGCTCCGGGCCTCCTTCTCCAGAAAGCCCTCGCTGAAGGGAAACAGAGAGGACAGCGCGCGGATGTCGGCCGGCCTGCCGGGCCCCGAGGCTGCTCGAAGCGGGGACGCCGCCGCCAACAAGCTCTTCCACTACATCCCGGGCACGGACATCCTGGACCTGGAGAACCAGCGAGAAAACCTGGAGCAGCCATTCCTGAGTGTGTTCAAGAAGGGGCGGCGGAGGGTGCCTGTGAGGAACCTGGGAAAAGTTGTGCATTACGCCAAGGTCCAGCTGCGGTTCCAGCACAGCCAGGATGTCAGCGACTGCTACCTGGAGCTATTCCCCGCCCACCTGTACTTCCAGGCCCACGGCTCGGAAGGACTCACATTTCAGGGGCTGTTACCGCTGACGGAGCTGAGTGTCTGCCCGCTCGAGGGGTCCCGAGAGCACGCCTTCCAGATCACAGGCCCACTGCCCGCACCCCTCCTGGTGCTCTGCCCCAGCCGGGCCGAGCTGGACCGCTGGCTTTACCACCTGGAGAAGCAGACGGCCCTCCTCGGGGGGCCGCGGCGCTGCCACTCGGCACCCCCACAGCGCCGTCTAACCCGGCTGCGGACGGCGTCAGGGCACGAACCCGGCGGCAGTGCTGTCTGTGCCTCGAGGGTCAAGCTGCAGCACCTGCCCGCACAGGAGCAGTGGGACCGGCTCTTGGTCCTGTACCCAACGTCCTTGGCCATTTTCTCCGAGGAGCTGGACGGGCTTTGCTTCAAGGGGGAGCTCCCACTCCGTGCCGTCCACATCAACCTGGAGGAGAAGGAGAAGCAGATCCGCTCCTTCCTGATTGAAGGCCCCCTCATCAACACCATCCGCGTGGTGTGCGCCAGCTACGAGGACTACGGTCACTGGCTGCTGTGCCTTCGCGCTGTCACCCACAGGGAGGGGGCCCCGCCGCTGCCTGGTGCCGAGAGCTTCCCAGGGTCGCAGGTTATGGGCAGTGGCCGAGGCTCACTCTCCTCAGGCGGACAGACCAGCTGGGACTCGGGGTGCTTGGCGCCCCCCTCCACCCGCACCAGCCACTCCCTGCCTGAGTCCTCAGTGCCATCCACCGTGGGCTGCTCCTCCCAGCACACACCGGACCAGGCCAACTCTGACCGTGCCAGCATTGGCCGACGGAGGACCGAGCTGAGACGCAGTGGCAGCAGCCGGTCACCCGGGAGCAAGGCCCGGGCAGAGGGCCGCGGCCCTGTCACCCCACTGCACCTGGACCTGACCCAGCTGCACAGGCTGAGCCTGGAGAGCAGCCCAGATGCCCCTGACCACACTTCGGAAACATCACACTCGCCCCTCTATGCCGACCCCTACACACCACCCGCCACCTCCCACCGCAGGGTCACAGATGTCCGGGGCCTGGAGGAGTTCCTCAGTGCCATGCAGAGTGCACGTGGACCCACGCCCTCGAGCCCACTCCCCTCGGTGCCTGTGTCTGTGCCTGCCTCTGACCCTCGCTCCTGCTCCTCCGGCCCCGCTGGCCCCTACTTGCTCTCCAAGAAGGGAGCCCTGCAGTCCAGAGCCGCTCAGAGACACCGGGGCTCAGCCAAGGATGGGGGGCCGCAGCCCCCAGACGCCCCTCAGCTTGTCTCCTCTGCCAGGGAAGGTTCGCCCGAACCCTGGCTGCCTCTGACAGATGGTCGGTCCCCCAGGAGGAGCCGGGACCCCGGCTACGACCACCTCTGGGACGAGACTTTGTCTTCCTCCCACCAGAAGTGCCCCCAGCTTGGAGGGCCTGAGGCCAGTGGGGGGCTTGTGCAGTGGATCTGA\n",
      "lcl|NC_000001.11_cds_NP_001278296.2_31 [gene=PERM1] [db_xref=GeneID:84808] [protein=PGC-1 and ERR-induced regulator in muscle protein 1 isoform 2] [protein_id=NP_001278296.2] [location=complement(join(976172..976269,976499..976624,978881..980657,981137..981166))] [gbkey=CDS]\n",
      "ATGGAGCCCCGAGGCGGTGGGAGCTCCCAGTTCTCATCCTGCCCTGGTCCGGCGTCTTCTGGAGACCAGATGCAGAGGCTTCTGCAGGGCCCTGCCCCACGGCCCCCTGGTGAGCCCCCTGGGAGTCCCAAGTCCCCTGGCCACAGCACTGGCTCCCAGAGGCCCCCCGATAGCCCTGGAGCCCCACCACGGAGCCCCAGCCGAAAGAAGAGGCGAGCTGTGGGTGCCAAGGGGGGTGGGCACACAGGAGCCTCTGCTTCTGCCCAGACGGGCTCCCCGCTGCTCCCTGCGGCCAGTCCTGAGACGGCAAAGCTGATGGCCAAAGCCGGGCAGGAGGAGTTGGGGCCAGGTCCTGCAGGAGCTCCTGAGCCTGGCCCCAGGTCCCCTGTGCAGGAAGACAGACCAGGGCCAGGTTTGGGCCTGTCTACACCTGTCCCTGTGACAGAGCAAGGCACAGACCAAATCAGAACCCCGCGCCGAGCCAAGCTGCACACAGTGTCCACGACTGTCTGGGAAGCCCTCCCAGATGTCTCAAGGGCTAAGTCAGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAACCTGACAGGGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAATCTGACAGGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACACGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACAGGGACATGGCTGTGTCTATACCTGCCTCCAAGCCGCAATCTGACACGGCTGTGTCTACACCAGCTTCTGAGCCTCAGTCCAGTGTGGCTCTGTCTACACCCATCTCCAAGCCACAATTGGACACGGACGTGGCTGTGTCCACACCTGCCTCCAAACATGGCCTGGATGTGGCCTTGCCTACAGCAGGCCCAGTGGCTAAGCTAGAGGTGGCTTCATCTCCACCTGTCTCGGAGGCTGTGCCGAGGATGACCGAGTCCAGCGGGCTTGTGTCTACACCTGTTCCCAGAGCCGACGCCGCTGGCCTCGCCTGGCCTCCCACCCGCAGAGCTGGGCCTGATGTGGTGGAGATGGAGGCGGTTGTGTCTGAGCCCTCAGCAGGGGCCCCCGGATGCTGCTCTGGGGCACCCGCACTGGGTCTCACCCAAGTCCCCAGGAAGAAGAAAGTGCGCTTCTCCGTGGCTGGGCCCAGCCCCAATAAGCCAGGCTCAGGACAGGCCTCAGCCCGGCCCTCAGCCCCCCAGACAGCAACTGGGGCCCACGGGGGGCCCGGAGCCTGGGAGGCTGTGGCTGTCGGGCCCCGGCCCCACCAGCCTCGGATCCTCAAGCACCTGCCTCGCCCCCCTCCCTCTGCCGTGACGAGGGTCGGGCCCGGGAGCAGCTTTGCCGTGACCCTCCCGGAGGCCTACGAGTTCTTCTTCTGTGACACCATCGAGGAGAACGAAGAGGCTGAGGCGGCAGCGGCCGGTCAGGATCCGGCAGGCGTCCAGTGGCCGGACATGTGCGAGTTCTTCTTCCCAGACGTTGGAGCCCAGAGGTCGAGGCGGCGGGGGTCCCCGGAGCCGCTCCCGAGAGCTGATCCTGTGCCGGCCCCCATACCTGGAGACCCCGTGCCCATCTCCATCCCTGAGGTCTATGAACACTTCTTCTTCGGGGAGGACAGGCTTGAGGGCGTGCTGGGGCCGGCTGTCCCGCTCCCACTGCAGGCCCTGGAGCCTCCCCGGTCGGCCTCCGAGGGGGCGGGGCCTGGGACCCCCCTCAAGCCAGCCGTGGTAGAGCGGCTCCACCTGGCTCTTAGACGGGCAGGGGAGCTCCGGGGGCCTGTCCCATCATTTGCCTTCAGCCAGAATGACATGTGCCTGGTGTTTGTAGCTTTTGCCACCTGGGCTGTGAGGACGTCAGATCCGCATACCCCAGACGCCTGGAAAACAGCCTTGCTGGCCAACGTCGGCACCATCTCTGCCATCCGCTACTTCCGCCGGCAGGTGGGGCAAGGGCGCCGCAGCCACAGCCCCAGCCCCAGCTCCTAG\n",
      "lcl|NC_000001.11_cds_NP_001356827.1_32 [gene=PERM1] [db_xref=GeneID:84808] [protein=PGC-1 and ERR-induced regulator in muscle protein 1 isoform 3] [protein_id=NP_001356827.1] [location=complement(join(976172..976269,976499..976558,978881..981029))] [gbkey=CDS]\n",
      "ATGGAAAATTTCCAGTACAGCGTCCAGCTGAGTGACCAGGACTGGGCCGAGTTCTCAGCCACCGCCGATGAGTGTGGCCTCCTGCAGGCCGGCCTGGCCTCTGGGGACGAGCTCTTGTCCAGTGACATTGACCAAGGGGACAGCAGTGGCAGCAGTCCCCCCAGGGCCCCACCTCTCCCAACTGGGCAGCTAGCTGCAGGAGGGCGGAGCCGGCGGGGCTGCGAGGAGGAGGACGTGGCCACACAGCAGCCGGTCAGCAGGTCTCAGGGTGAGCCTGTCTTGGCCCTGGGGACCGGTCAGCAGACACCCAGCACGTCCGCACGGGCAGAAGCTCCACCGTCCCTCGGCCCCGGCGCCAGCCCTCCCAGCCAGTTCTCATCCTGCCCTGGTCCGGCGTCTTCTGGAGACCAGATGCAGAGGCTTCTGCAGGGCCCTGCCCCACGGCCCCCTGGTGAGCCCCCTGGGAGTCCCAAGTCCCCTGGCCACAGCACTGGCTCCCAGAGGCCCCCCGATAGCCCTGGAGCCCCACCACGGAGCCCCAGCCGAAAGAAGAGGCGAGCTGTGGGTGCCAAGGGGGGTGGGCACACAGGAGCCTCTGCTTCTGCCCAGACGGGCTCCCCGCTGCTCCCTGCGGCCAGTCCTGAGACGGCAAAGCTGATGGCCAAAGCCGGGCAGGAGGAGTTGGGGCCAGGTCCTGCAGGAGCTCCTGAGCCTGGCCCCAGGTCCCCTGTGCAGGAAGACAGACCAGGGCCAGGTTTGGGCCTGTCTACACCTGTCCCTGTGACAGAGCAAGGCACAGACCAAATCAGAACCCCGCGCCGAGCCAAGCTGCACACAGTGTCCACGACTGTCTGGGAAGCCCTCCCAGATGTCTCAAGGGCTAAGTCAGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAACCTGACAGGGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAATCTGACAGGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACACGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACAGGGACATGGCTGTGTCTATACCTGCCTCCAAGCCGCAATCTGACACGGCTGTGTCTACACCAGCTTCTGAGCCTCAGTCCAGTGTGGCTCTGTCTACACCCATCTCCAAGCCACAATTGGACACGGACGTGGCTGTGTCCACACCTGCCTCCAAACATGGCCTGGATGTGGCCTTGCCTACAGCAGGCCCAGTGGCTAAGCTAGAGGTGGCTTCATCTCCACCTGTCTCGGAGGCTGTGCCGAGGATGACCGAGTCCAGCGGGCTTGTGTCTACACCTGTTCCCAGAGCCGACGCCGCTGGCCTCGCCTGGCCTCCCACCCGCAGAGCTGGGCCTGATGTGGTGGAGATGGAGGCGGTTGTGTCTGAGCCCTCAGCAGGGGCCCCCGGATGCTGCTCTGGGGCACCCGCACTGGGTCTCACCCAAGTCCCCAGGAAGAAGAAAGTGCGCTTCTCCGTGGCTGGGCCCAGCCCCAATAAGCCAGGCTCAGGACAGGCCTCAGCCCGGCCCTCAGCCCCCCAGACAGCAACTGGGGCCCACGGGGGGCCCGGAGCCTGGGAGGCTGTGGCTGTCGGGCCCCGGCCCCACCAGCCTCGGATCCTCAAGCACCTGCCTCGCCCCCCTCCCTCTGCCGTGACGAGGGTCGGGCCCGGGAGCAGCTTTGCCGTGACCCTCCCGGAGGCCTACGAGTTCTTCTTCTGTGACACCATCGAGGAGAACGAAGAGGCTGAGGCGGCAGCGGCCGGTCAGGATCCGGCAGGCGTCCAGTGGCCGGACATGTGCGAGTTCTTCTTCCCAGACGTTGGAGCCCAGAGGTCGAGGCGGCGGGGGTCCCCGGAGCCGCTCCCGAGAGCTGATCCTGTGCCGGCCCCCATACCTGGAGACCCCGTGCCCATCTCCATCCCTGAGGTCTATGAACACTTCTTCTTCGGGGAGGACAGGCTTGAGGGCGTGCTGGGGCCGGCTGTCCCGCTCCCACTGCAGGCCCTGGAGCCTCCCCGGTCGGCCTCCGAGGGGGCGGGGCCTGGGACCCCCCTCAAGCCAGCCGTGGTAGAGCGGCTCCACCTGGCTCTTAGACGGGCAGCTTTTGCCACCTGGGCTGTGAGGACGTCAGATCCGCATACCCCAGACGCCTGGAAAACAGCCTTGCTGGCCAACGTCGGCACCATCTCTGCCATCCGCTACTTCCGCCGGCAGGTGGGGCAAGGGCGCCGCAGCCACAGCCCCAGCCCCAGCTCCTAG\n",
      "lcl|NC_000001.11_cds_XP_016858072.1_33 [gene=PERM1] [db_xref=GeneID:84808] [protein=PGC-1 and ERR-induced regulator in muscle protein 1 isoform X1] [protein_id=XP_016858072.1] [location=complement(join(976172..976269,976499..976624,978881..981029))] [gbkey=CDS]\n",
      "ATGGAAAATTTCCAGTACAGCGTCCAGCTGAGTGACCAGGACTGGGCCGAGTTCTCAGCCACCGCCGATGAGTGTGGCCTCCTGCAGGCCGGCCTGGCCTCTGGGGACGAGCTCTTGTCCAGTGACATTGACCAAGGGGACAGCAGTGGCAGCAGTCCCCCCAGGGCCCCACCTCTCCCAACTGGGCAGCTAGCTGCAGGAGGGCGGAGCCGGCGGGGCTGCGAGGAGGAGGACGTGGCCACACAGCAGCCGGTCAGCAGGTCTCAGGGTGAGCCTGTCTTGGCCCTGGGGACCGGTCAGCAGACACCCAGCACGTCCGCACGGGCAGAAGCTCCACCGTCCCTCGGCCCCGGCGCCAGCCCTCCCAGCCAGTTCTCATCCTGCCCTGGTCCGGCGTCTTCTGGAGACCAGATGCAGAGGCTTCTGCAGGGCCCTGCCCCACGGCCCCCTGGTGAGCCCCCTGGGAGTCCCAAGTCCCCTGGCCACAGCACTGGCTCCCAGAGGCCCCCCGATAGCCCTGGAGCCCCACCACGGAGCCCCAGCCGAAAGAAGAGGCGAGCTGTGGGTGCCAAGGGGGGTGGGCACACAGGAGCCTCTGCTTCTGCCCAGACGGGCTCCCCGCTGCTCCCTGCGGCCAGTCCTGAGACGGCAAAGCTGATGGCCAAAGCCGGGCAGGAGGAGTTGGGGCCAGGTCCTGCAGGAGCTCCTGAGCCTGGCCCCAGGTCCCCTGTGCAGGAAGACAGACCAGGGCCAGGTTTGGGCCTGTCTACACCTGTCCCTGTGACAGAGCAAGGCACAGACCAAATCAGAACCCCGCGCCGAGCCAAGCTGCACACAGTGTCCACGACTGTCTGGGAAGCCCTCCCAGATGTCTCAAGGGCTAAGTCAGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAACCTGACAGGGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAATCTGACAGGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACACGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACAGGGACATGGCTGTGTCTATACCTGCCTCCAAGCCGCAATCTGACACGGCTGTGTCTACACCAGCTTCTGAGCCTCAGTCCAGTGTGGCTCTGTCTACACCCATCTCCAAGCCACAATTGGACACGGACGTGGCTGTGTCCACACCTGCCTCCAAACATGGCCTGGATGTGGCCTTGCCTACAGCAGGCCCAGTGGCTAAGCTAGAGGTGGCTTCATCTCCACCTGTCTCGGAGGCTGTGCCGAGGATGACCGAGTCCAGCGGGCTTGTGTCTACACCTGTTCCCAGAGCCGACGCCGCTGGCCTCGCCTGGCCTCCCACCCGCAGAGCTGGGCCTGATGTGGTGGAGATGGAGGCGGTTGTGTCTGAGCCCTCAGCAGGGGCCCCCGGATGCTGCTCTGGGGCACCCGCACTGGGTCTCACCCAAGTCCCCAGGAAGAAGAAAGTGCGCTTCTCCGTGGCTGGGCCCAGCCCCAATAAGCCAGGCTCAGGACAGGCCTCAGCCCGGCCCTCAGCCCCCCAGACAGCAACTGGGGCCCACGGGGGGCCCGGAGCCTGGGAGGCTGTGGCTGTCGGGCCCCGGCCCCACCAGCCTCGGATCCTCAAGCACCTGCCTCGCCCCCCTCCCTCTGCCGTGACGAGGGTCGGGCCCGGGAGCAGCTTTGCCGTGACCCTCCCGGAGGCCTACGAGTTCTTCTTCTGTGACACCATCGAGGAGAACGAAGAGGCTGAGGCGGCAGCGGCCGGTCAGGATCCGGCAGGCGTCCAGTGGCCGGACATGTGCGAGTTCTTCTTCCCAGACGTTGGAGCCCAGAGGTCGAGGCGGCGGGGGTCCCCGGAGCCGCTCCCGAGAGCTGATCCTGTGCCGGCCCCCATACCTGGAGACCCCGTGCCCATCTCCATCCCTGAGGTCTATGAACACTTCTTCTTCGGGGAGGACAGGCTTGAGGGCGTGCTGGGGCCGGCTGTCCCGCTCCCACTGCAGGCCCTGGAGCCTCCCCGGTCGGCCTCCGAGGGGGCGGGGCCTGGGACCCCCCTCAAGCCAGCCGTGGTAGAGCGGCTCCACCTGGCTCTTAGACGGGCAGGGGAGCTCCGGGGGCCTGTCCCATCATTTGCCTTCAGCCAGAATGACATGTGCCTGGTGTTTGTAGCTTTTGCCACCTGGGCTGTGAGGACGTCAGATCCGCATACCCCAGACGCCTGGAAAACAGCCTTGCTGGCCAACGTCGGCACCATCTCTGCCATCCGCTACTTCCGCCGGCAGGTGGGGCAAGGGCGCCGCAGCCACAGCCCCAGCCCCAGCTCCTAG\n",
      "lcl|NC_000001.11_cds_NP_001356826.1_34 [gene=PERM1] [db_xref=GeneID:84808] [protein=PGC-1 and ERR-induced regulator in muscle protein 1 isoform 1] [protein_id=NP_001356826.1] [location=complement(join(976172..976269,976499..976624,978881..981029))] [gbkey=CDS]\n",
      "ATGGAAAATTTCCAGTACAGCGTCCAGCTGAGTGACCAGGACTGGGCCGAGTTCTCAGCCACCGCCGATGAGTGTGGCCTCCTGCAGGCCGGCCTGGCCTCTGGGGACGAGCTCTTGTCCAGTGACATTGACCAAGGGGACAGCAGTGGCAGCAGTCCCCCCAGGGCCCCACCTCTCCCAACTGGGCAGCTAGCTGCAGGAGGGCGGAGCCGGCGGGGCTGCGAGGAGGAGGACGTGGCCACACAGCAGCCGGTCAGCAGGTCTCAGGGTGAGCCTGTCTTGGCCCTGGGGACCGGTCAGCAGACACCCAGCACGTCCGCACGGGCAGAAGCTCCACCGTCCCTCGGCCCCGGCGCCAGCCCTCCCAGCCAGTTCTCATCCTGCCCTGGTCCGGCGTCTTCTGGAGACCAGATGCAGAGGCTTCTGCAGGGCCCTGCCCCACGGCCCCCTGGTGAGCCCCCTGGGAGTCCCAAGTCCCCTGGCCACAGCACTGGCTCCCAGAGGCCCCCCGATAGCCCTGGAGCCCCACCACGGAGCCCCAGCCGAAAGAAGAGGCGAGCTGTGGGTGCCAAGGGGGGTGGGCACACAGGAGCCTCTGCTTCTGCCCAGACGGGCTCCCCGCTGCTCCCTGCGGCCAGTCCTGAGACGGCAAAGCTGATGGCCAAAGCCGGGCAGGAGGAGTTGGGGCCAGGTCCTGCAGGAGCTCCTGAGCCTGGCCCCAGGTCCCCTGTGCAGGAAGACAGACCAGGGCCAGGTTTGGGCCTGTCTACACCTGTCCCTGTGACAGAGCAAGGCACAGACCAAATCAGAACCCCGCGCCGAGCCAAGCTGCACACAGTGTCCACGACTGTCTGGGAAGCCCTCCCAGATGTCTCAAGGGCTAAGTCAGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAACCTGACAGGGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAATCTGACAGGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACACGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACAGGGACATGGCTGTGTCTATACCTGCCTCCAAGCCGCAATCTGACACGGCTGTGTCTACACCAGCTTCTGAGCCTCAGTCCAGTGTGGCTCTGTCTACACCCATCTCCAAGCCACAATTGGACACGGACGTGGCTGTGTCCACACCTGCCTCCAAACATGGCCTGGATGTGGCCTTGCCTACAGCAGGCCCAGTGGCTAAGCTAGAGGTGGCTTCATCTCCACCTGTCTCGGAGGCTGTGCCGAGGATGACCGAGTCCAGCGGGCTTGTGTCTACACCTGTTCCCAGAGCCGACGCCGCTGGCCTCGCCTGGCCTCCCACCCGCAGAGCTGGGCCTGATGTGGTGGAGATGGAGGCGGTTGTGTCTGAGCCCTCAGCAGGGGCCCCCGGATGCTGCTCTGGGGCACCCGCACTGGGTCTCACCCAAGTCCCCAGGAAGAAGAAAGTGCGCTTCTCCGTGGCTGGGCCCAGCCCCAATAAGCCAGGCTCAGGACAGGCCTCAGCCCGGCCCTCAGCCCCCCAGACAGCAACTGGGGCCCACGGGGGGCCCGGAGCCTGGGAGGCTGTGGCTGTCGGGCCCCGGCCCCACCAGCCTCGGATCCTCAAGCACCTGCCTCGCCCCCCTCCCTCTGCCGTGACGAGGGTCGGGCCCGGGAGCAGCTTTGCCGTGACCCTCCCGGAGGCCTACGAGTTCTTCTTCTGTGACACCATCGAGGAGAACGAAGAGGCTGAGGCGGCAGCGGCCGGTCAGGATCCGGCAGGCGTCCAGTGGCCGGACATGTGCGAGTTCTTCTTCCCAGACGTTGGAGCCCAGAGGTCGAGGCGGCGGGGGTCCCCGGAGCCGCTCCCGAGAGCTGATCCTGTGCCGGCCCCCATACCTGGAGACCCCGTGCCCATCTCCATCCCTGAGGTCTATGAACACTTCTTCTTCGGGGAGGACAGGCTTGAGGGCGTGCTGGGGCCGGCTGTCCCGCTCCCACTGCAGGCCCTGGAGCCTCCCCGGTCGGCCTCCGAGGGGGCGGGGCCTGGGACCCCCCTCAAGCCAGCCGTGGTAGAGCGGCTCCACCTGGCTCTTAGACGGGCAGGGGAGCTCCGGGGGCCTGTCCCATCATTTGCCTTCAGCCAGAATGACATGTGCCTGGTGTTTGTAGCTTTTGCCACCTGGGCTGTGAGGACGTCAGATCCGCATACCCCAGACGCCTGGAAAACAGCCTTGCTGGCCAACGTCGGCACCATCTCTGCCATCCGCTACTTCCGCCGGCAGGTGGGGCAAGGGCGCCGCAGCCACAGCCCCAGCCCCAGCTCCTAG\n",
      "lcl|NC_000001.11_cds_NP_001278295.1_35 [gene=PERM1] [db_xref=CCDS:CCDS76083.1,GeneID:84808] [protein=PGC-1 and ERR-induced regulator in muscle protein 1 isoform 1] [protein_id=NP_001278295.1] [location=complement(join(976172..976269,976499..976624,978881..981029))] [gbkey=CDS]\n",
      "ATGGAAAATTTCCAGTACAGCGTCCAGCTGAGTGACCAGGACTGGGCCGAGTTCTCAGCCACCGCCGATGAGTGTGGCCTCCTGCAGGCCGGCCTGGCCTCTGGGGACGAGCTCTTGTCCAGTGACATTGACCAAGGGGACAGCAGTGGCAGCAGTCCCCCCAGGGCCCCACCTCTCCCAACTGGGCAGCTAGCTGCAGGAGGGCGGAGCCGGCGGGGCTGCGAGGAGGAGGACGTGGCCACACAGCAGCCGGTCAGCAGGTCTCAGGGTGAGCCTGTCTTGGCCCTGGGGACCGGTCAGCAGACACCCAGCACGTCCGCACGGGCAGAAGCTCCACCGTCCCTCGGCCCCGGCGCCAGCCCTCCCAGCCAGTTCTCATCCTGCCCTGGTCCGGCGTCTTCTGGAGACCAGATGCAGAGGCTTCTGCAGGGCCCTGCCCCACGGCCCCCTGGTGAGCCCCCTGGGAGTCCCAAGTCCCCTGGCCACAGCACTGGCTCCCAGAGGCCCCCCGATAGCCCTGGAGCCCCACCACGGAGCCCCAGCCGAAAGAAGAGGCGAGCTGTGGGTGCCAAGGGGGGTGGGCACACAGGAGCCTCTGCTTCTGCCCAGACGGGCTCCCCGCTGCTCCCTGCGGCCAGTCCTGAGACGGCAAAGCTGATGGCCAAAGCCGGGCAGGAGGAGTTGGGGCCAGGTCCTGCAGGAGCTCCTGAGCCTGGCCCCAGGTCCCCTGTGCAGGAAGACAGACCAGGGCCAGGTTTGGGCCTGTCTACACCTGTCCCTGTGACAGAGCAAGGCACAGACCAAATCAGAACCCCGCGCCGAGCCAAGCTGCACACAGTGTCCACGACTGTCTGGGAAGCCCTCCCAGATGTCTCAAGGGCTAAGTCAGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAACCTGACAGGGACATGGCTGTGTCTACACCTGCCTCCGAGCCGCAATCTGACAGGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACACGGACATGGCTGTGTCTACACCTGCCTCTGAGCCGCAACCTGACAGGGACATGGCTGTGTCTATACCTGCCTCCAAGCCGCAATCTGACACGGCTGTGTCTACACCAGCTTCTGAGCCTCAGTCCAGTGTGGCTCTGTCTACACCCATCTCCAAGCCACAATTGGACACGGACGTGGCTGTGTCCACACCTGCCTCCAAACATGGCCTGGATGTGGCCTTGCCTACAGCAGGCCCAGTGGCTAAGCTAGAGGTGGCTTCATCTCCACCTGTCTCGGAGGCTGTGCCGAGGATGACCGAGTCCAGCGGGCTTGTGTCTACACCTGTTCCCAGAGCCGACGCCGCTGGCCTCGCCTGGCCTCCCACCCGCAGAGCTGGGCCTGATGTGGTGGAGATGGAGGCGGTTGTGTCTGAGCCCTCAGCAGGGGCCCCCGGATGCTGCTCTGGGGCACCCGCACTGGGTCTCACCCAAGTCCCCAGGAAGAAGAAAGTGCGCTTCTCCGTGGCTGGGCCCAGCCCCAATAAGCCAGGCTCAGGACAGGCCTCAGCCCGGCCCTCAGCCCCCCAGACAGCAACTGGGGCCCACGGGGGGCCCGGAGCCTGGGAGGCTGTGGCTGTCGGGCCCCGGCCCCACCAGCCTCGGATCCTCAAGCACCTGCCTCGCCCCCCTCCCTCTGCCGTGACGAGGGTCGGGCCCGGGAGCAGCTTTGCCGTGACCCTCCCGGAGGCCTACGAGTTCTTCTTCTGTGACACCATCGAGGAGAACGAAGAGGCTGAGGCGGCAGCGGCCGGTCAGGATCCGGCAGGCGTCCAGTGGCCGGACATGTGCGAGTTCTTCTTCCCAGACGTTGGAGCCCAGAGGTCGAGGCGGCGGGGGTCCCCGGAGCCGCTCCCGAGAGCTGATCCTGTGCCGGCCCCCATACCTGGAGACCCCGTGCCCATCTCCATCCCTGAGGTCTATGAACACTTCTTCTTCGGGGAGGACAGGCTTGAGGGCGTGCTGGGGCCGGCTGTCCCGCTCCCACTGCAGGCCCTGGAGCCTCCCCGGTCGGCCTCCGAGGGGGCGGGGCCTGGGACCCCCCTCAAGCCAGCCGTGGTAGAGCGGCTCCACCTGGCTCTTAGACGGGCAGGGGAGCTCCGGGGGCCTGTCCCATCATTTGCCTTCAGCCAGAATGACATGTGCCTGGTGTTTGTAGCTTTTGCCACCTGGGCTGTGAGGACGTCAGATCCGCATACCCCAGACGCCTGGAAAACAGCCTTGCTGGCCAACGTCGGCACCATCTCTGCCATCCGCTACTTCCGCCGGCAGGTGGGGCAAGGGCGCCGCAGCCACAGCCCCAGCCCCAGCTCCTAG\n",
      "lcl|NC_000001.11_cds_XP_005244828.1_36 [gene=HES4] [db_xref=GeneID:57801] [protein=transcription factor HES-4 isoform X1] [protein_id=XP_005244828.1] [location=complement(join(999059..999432,999526..999613,999866..999973))] [gbkey=CDS]\n",
      "ATGGCCGCAGACACGCCGGGGAAACCGAGCGCCTCGCCGATGGCAGGAGCGCCGGCCAGCGCCAGCCGGACCCCAGACAAGCCCCGGAGCGCGGCCGAGCACCGCAAGAGCTCCCGCCACTCGAAGCTGGAGAAGGCGGACATCCTGGAGATGACCGTGAGACACCTGCGGAGCCTGCGTCGCGTGCAGGTGACGGCCGCGCTCAGCGCCGACCCCGCCGTTCTGGGCAAGTACCGCGCCGGCTTCCACGAGTGTCTGGCGGAGGTGAACCGCTTCCTGGCCGGCTGCGAGGGCGTCCCGGCCGACGTGCGCTCCCGCCTGCTGGGCCACCTGGCAGCCTGCCTGCGCCAGCTGGGACCCTCCCGCCGCCCGGCCTCGCTGTCCCCGGCTGCCCCCGCAGAGGCCCCAGCGCCCGAGGTCTACGCGGGCCGCCCGCTGCTGCCATCGCTCGGCGGCCCCTTCCCTCTGCTCGCGCCGCCGCTGCTGCCGGGTCTGACCCGGGCGCTGCCCGCCGCCCCCAGGGCGGGGCCGCAGGGCCCGGGTGGGCCCTGGAGGCCGTGGCTGCGCTGA\n",
      "lcl|NC_000001.11_cds_NP_066993.1_37 [gene=HES4] [db_xref=CCDS:CCDS5.1,Ensembl:ENSP00000304595.7,GeneID:57801] [protein=transcription factor HES-4 isoform 2] [protein_id=NP_066993.1] [location=complement(join(999059..999432,999526..999613,999692..999787,999866..999973))] [gbkey=CDS]\n",
      "ATGGCCGCAGACACGCCGGGGAAACCGAGCGCCTCGCCGATGGCAGGAGCGCCGGCCAGCGCCAGCCGGACCCCAGACAAGCCCCGGAGCGCGGCCGAGCACCGCAAGTCCTCCAAGCCGGTCATGGAGAAGCGGCGCCGAGCGCGTATTAACGAGAGCCTCGCTCAGCTCAAAACCCTCATCCTGGACGCCCTCAGAAAAGAGAGCTCCCGCCACTCGAAGCTGGAGAAGGCGGACATCCTGGAGATGACCGTGAGACACCTGCGGAGCCTGCGTCGCGTGCAGGTGACGGCCGCGCTCAGCGCCGACCCCGCCGTTCTGGGCAAGTACCGCGCCGGCTTCCACGAGTGTCTGGCGGAGGTGAACCGCTTCCTGGCCGGCTGCGAGGGCGTCCCGGCCGACGTGCGCTCCCGCCTGCTGGGCCACCTGGCAGCCTGCCTGCGCCAGCTGGGACCCTCCCGCCGCCCGGCCTCGCTGTCCCCGGCTGCCCCCGCAGAGGCCCCAGCGCCCGAGGTCTACGCGGGCCGCCCGCTGCTGCCATCGCTCGGCGGCCCCTTCCCTCTGCTCGCGCCGCCGCTGCTGCCGGGTCTGACCCGGGCGCTGCCCGCCGCCCCCAGGGCGGGGCCGCAGGGCCCGGGTGGGCCCTGGAGGCCGTGGCTGCGCTGA\n",
      "lcl|NC_000001.11_cds_NP_001135939.1_38 [gene=HES4] [db_xref=CCDS:CCDS44034.1,GeneID:57801] [protein=transcription factor HES-4 isoform 1] [protein_id=NP_001135939.1] [location=complement(join(999059..999432,999526..999613,999692..999973))] [gbkey=CDS]\n",
      "ATGGCCGCAGACACGCCGGGGAAACCGAGCGCCTCGCCGATGGCAGGAGCGCCGGCCAGCGCCAGCCGGACCCCAGACAAGCCCCGGAGCGCGGCCGAGCACCGCAAGGTGGGGTCCCGGCCGGGCGTGAGGGGGGCGACCGGGGGGCGGGAGGGACGCGGGACTCAGCCGGTGCCCGACCCGCAGTCCTCCAAGCCGGTCATGGAGAAGCGGCGCCGAGCGCGTATTAACGAGAGCCTCGCTCAGCTCAAAACCCTCATCCTGGACGCCCTCAGAAAAGAGAGCTCCCGCCACTCGAAGCTGGAGAAGGCGGACATCCTGGAGATGACCGTGAGACACCTGCGGAGCCTGCGTCGCGTGCAGGTGACGGCCGCGCTCAGCGCCGACCCCGCCGTTCTGGGCAAGTACCGCGCCGGCTTCCACGAGTGTCTGGCGGAGGTGAACCGCTTCCTGGCCGGCTGCGAGGGCGTCCCGGCCGACGTGCGCTCCCGCCTGCTGGGCCACCTGGCAGCCTGCCTGCGCCAGCTGGGACCCTCCCGCCGCCCGGCCTCGCTGTCCCCGGCTGCCCCCGCAGAGGCCCCAGCGCCCGAGGTCTACGCGGGCCGCCCGCTGCTGCCATCGCTCGGCGGCCCCTTCCCTCTGCTCGCGCCGCCGCTGCTGCCGGGTCTGACCCGGGCGCTGCCCGCCGCCCCCAGGGCGGGGCCGCAGGGCCCGGGTGGGCCCTGGAGGCCGTGGCTGCGCTGA\n",
      "lcl|NC_000001.11_cds_NP_005092.1_39 [gene=ISG15] [db_xref=CCDS:CCDS6.1,Ensembl:ENSP00000496832.1,GeneID:9636] [protein=ubiquitin-like protein ISG15] [protein_id=NP_005092.1] [location=join(1013574..1013576,1013984..1014478)] [gbkey=CDS]\n",
      "ATGGGCTGGGACCTGACGGTGAAGATGCTGGCGGGCAACGAATTCCAGGTGTCCCTGAGCAGCTCCATGTCGGTGTCAGAGCTGAAGGCGCAGATCACCCAGAAGATCGGCGTGCACGCCTTCCAGCAGCGTCTGGCTGTCCACCCGAGCGGTGTGGCGCTGCAGGACAGGGTCCCCCTTGCCAGCCAGGGCCTGGGCCCCGGCAGCACGGTCCTGCTGGTGGTGGACAAATGCGACGAACCTCTGAGCATCCTGGTGAGGAATAACAAGGGCCGCAGCAGCACCTACGAGGTACGGCTGACGCAGACCGTGGCCCACCTGAAGCAGCAAGTGAGCGGGCTGGAGGGTGTGCAGGACGACCTGTTCTGGCTGACCTTCGAGGGGAAGCCCCTGGAGGACCAGCTCCCGCTGGGGGAGTACGGCCTCAAGCCCCTGAGCACCGTGTTCATGAATCTGCGCCTGCGGGGAGGCGGCACAGAGCCTGGCGGGCGGAGCTAA\n",
      "lcl|NC_000001.11_cds_XP_011539731.1_40 [gene=AGRN] [db_xref=GeneID:375790] [protein=agrin isoform X2] [protein_id=XP_011539731.1] [location=join(1020173..1020373,1022201..1022462,1035277..1035324,1040665..1040880,1041173..1041397,1041478..1041702,1041956..1042162,1043239..1043457,1043538..1043732,1043823..1044023,1044109..1044257,1044334..1044439,1045161..1045277,1045359..1045523,1045733..1045876,1045964..1046088,1046160..1046265,1046397..1046735,1046820..1046957,1047327..1047454,1047573..1047687,1047776..1047895,1048012..1048365,1048867..1049059,1049236..1049451,1049566..1049795,1049903..1050037,1050233..1050329,1050427..1050591,1050726..1050837,1051032..1051043,1051253..1051369,1051453..1051645,1051728..1051815,1053753..1053977,1054448..1054551,1055377..1055399)] [gbkey=CDS]\n",
      "ATGGCCGGCCGGTCCCACCCGGGCCCGCTGCGGCCGCTGCTGCCGCTCCTTGTGGTGGCCGCGTGCGTCCTGCCCGGAGCCGGCGGGACATGCCCGGAGCGCGCGCTGGAGCGGCGCGAGGAGGAGGCGAACGTGGTGCTCACCGGGACGGTGGAGGAGATCCTCAACGTGGACCCGGTGCAGCACACGTACTCCTGCAAGGTTCGGGTCTGGCGGTACTTGAAGGGCAAAGACCTGGTGGCCCGGGAGAGCCTGCTGGACGGCGGCAACAAGGTGGTGATCAGCGGCTTTGGAGACCCCCTCATCTGTGACAACCAGGTGTCCACTGGGGACACCAGGATCTTCTTTGTGAACCCTGCACCCCCATACCTGTGGCCAGCCCACAAGAACGAGCTGATGCTCAACTCCAGCCTCATGCGGATCACCCTGCGGAACCTGGAGGAGGTGGAGTTCTGTGTGGAAGATAAACCCGGGACCCACTTCACTCCAGTGCCTCCGACGCCTCCTGATGCGTGCCGGGGAATGCTGTGCGGCTTCGGCGCCGTGTGCGAGCCCAACGCGGAGGGGCCGGGCCGGGCGTCCTGCGTCTGCAAGAAGAGCCCGTGCCCCAGCGTGGTGGCGCCTGTGTGTGGGTCGGACGCCTCCACCTACAGCAACGAATGCGAGCTGCAGCGGGCGCAGTGCAGCCAGCAGCGCCGCATCCGCCTGCTCAGCCGCGGGCCGTGCGGCTCGCGGGACCCCTGCTCCAACGTGACCTGCAGCTTCGGCAGCACCTGTGCGCGCTCGGCCGACGGGCTGACGGCCTCGTGCCTGTGCCCCGCGACCTGCCGTGGCGCCCCCGAGGGGACCGTCTGCGGCAGCGACGGCGCCGACTACCCCGGCGAGTGCCAGCTCCTGCGCCGCGCCTGCGCCCGCCAGGAGAATGTCTTCAAGAAGTTCGACGGCCCTTGTGACCCCTGTCAGGGCGCCCTCCCTGACCCGAGCCGCAGCTGCCGTGTGAACCCGCGCACGCGGCGCCCTGAGATGCTCCTACGGCCCGAGAGCTGCCCTGCCCGGCAGGCGCCAGTGTGTGGGGACGACGGAGTCACCTACGAAAACGACTGTGTCATGGGCCGATCGGGGGCCGCCCGGGGTCTCCTCCTGCAGAAAGTGCGCTCCGGCCAGTGCCAGGGTCGAGACCAGTGCCCGGAGCCCTGCCGGTTCAATGCCGTGTGCCTGTCCCGCCGTGGCCGTCCCCGCTGCTCCTGCGACCGCGTCACCTGTGACGGGGCCTACAGGCCCGTGTGTGCCCAGGACGGGCGCACGTATGACAGTGATTGCTGGCGGCAGCAGGCTGAGTGCCGGCAGCAGCGTGCCATCCCCAGCAAGCACCAGGGCCCGTGTGACCAGGCCCCGTCCCCATGCCTCGGGGTGCAGTGTGCATTTGGGGCGACGTGTGCTGTGAAGAACGGGCAGGCAGCGTGTGAATGCCTGCAGGCGTGCTCGAGCCTCTACGATCCTGTGTGCGGCAGCGACGGCGTCACATACGGCAGCGCGTGCGAGCTGGAGGCCACGGCCTGTACCCTCGGGCGGGAGATCCAGGTGGCGCGCAAAGGACCCTGTGACCGCTGCGGGCAGTGCCGCTTTGGAGCCCTGTGCGAGGCCGAGACCGGGCGCTGCGTGTGCCCCTCTGAATGCGTGGCTTTGGCCCAGCCCGTGTGTGGCTCCGACGGGCACACGTACCCCAGCGAGTGCATGCTGCACGTGCACGCCTGCACACACCAGATCAGCCTGCACGTGGCCTCAGCTGGACCCTGTGAGACCTGTGGAGATGCCGTGTGTGCTTTTGGGGCTGTGTGCTCCGCAGGGCAGTGTGTGTGTCCCCGGTGTGAGCACCCCCCGCCCGGCCCCGTGTGTGGCAGCGACGGTGTCACCTACGGCAGTGCCTGCGAGCTACGGGAAGCCGCCTGCCTCCAGCAGACACAGATCGAGGAGGCCCGGGCAGGGCCGTGCGAGCAGGCCGAGTGCGGTTCCGGAGGCTCTGGCTCTGGGGAGGACGGTGACTGTGAGCAGGAGCTGTGCCGGCAGCGCGGTGGCATCTGGGACGAGGACTCGGAGGACGGGCCGTGTGTCTGTGACTTCAGCTGCCAGAGTGTCCCAGGCAGCCCGGTGTGCGGCTCAGATGGGGTCACCTACAGCACCGAGTGTGAGCTGAAGAAGGCCAGGTGTGAGTCACAGCGAGGGCTCTACGTAGCGGCCCAGGGAGCCTGCCGAGGCCCCACCTTCGCCCCGCTGCCGCCTGTGGCCCCCTTACACTGTGCCCAGACGCCCTACGGCTGCTGCCAGGACAATATCACCGCAGCCCGGGGCGTGGGCCTGGCTGGCTGCCCCAGTGCCTGCCAGTGCAACCCCCATGGCTCTTACGGCGGCACCTGTGACCCAGCCACAGGCCAGTGCTCCTGCCGCCCAGGTGTGGGGGGCCTCAGGTGTGACCGCTGTGAGCCTGGCTTCTGGAACTTTCGAGGCATCGTCACCGATGGCCGGAGTGGCTGTACACCCTGCAGCTGTGATCCCCAAGGCGCCGTGCGGGATGACTGTGAGCAGATGACGGGGCTGTGCTCGTGTAAGCCCGGGGTGGCTGGACCCAAGTGTGGGCAGTGTCCAGACGGCCGTGCCCTGGGCCCCGCGGGCTGTGAAGCTGACGCTTCTGCGCCTGCGACCTGTGCGGAGATGCGCTGTGAGTTCGGTGCGCGGTGCGTGGAGGAGTCTGGCTCAGCCCACTGTGTCTGCCCGATGCTCACCTGTCCAGAGGCCAACGCTACCAAGGTCTGTGGGTCAGATGGAGTCACATACGGCAACGAGTGTCAGCTGAAGACCATCGCCTGCCGCCAGGGCCTGCAAATCTCTATCCAGAGCCTGGGCCCGTGCCAGGAGGCTGTTGCTCCCAGCACTCACCCGACATCTGCCTCCGTGACTGTGACCACCCCAGGGCTCCTCCTGAGCCAGGCACTGCCGGCCCCCCCCGGCGCCCTCCCCCTGGCTCCCAGCAGTACCGCACACAGCCAGACCACCCCTCCGCCCTCATCACGACCTCGGACCACTGCCAGCGTCCCCAGGACCACCGTGTGGCCCGTGCTGACGGTGCCCCCCACGGCACCCTCCCCTGCACCCAGCCTGGTGGCGTCCGCCTTTGGTGAATCTGGCAGCACTGATGGAAGCAGCGATGAGGAACTGAGCGGGGACCAGGAGGCCAGTGGGGGTGGCTCTGGGGGGCTCGAGCCCTTGGAGGGCAGCAGCGTGGCCACCCCTGGGCCACCTGTCGAGAGGGCTTCCTGCTACAACTCCGCGTTGGGCTGCTGCTCTGATGGGAAGACGCCCTCGCTGGACGCAGAGGGCTCCAACTGCCCCGCCACCAAGGTGTTCCAGGGCGTCCTGGAGCTGGAGGGCGTCGAGGGCCAGGAGCTGTTCTACACGCCCGAGATGGCTGACCCCAAGTCAGAACTGTTCGGGGAGACAGCCAGGAGCATTGAGAGCACCCTGGACGACCTCTTCCGGAATTCAGACGTCAAGAAGGATTTTCGGAGTGTCCGCTTGCGGGACCTGGGGCCCGGCAAATCCGTCCGCGCCATTGTGGATGTGCACTTTGACCCCACCACAGCCTTCAGGGCACCCGACGTGGCCCGGGCCCTGCTCCGGCAGATCCAGGTGTCCAGGCGCCGGTCCTTGGGGGTGAGGCGGCCGCTGCAGGAGCACGTGCGATTTATGGACTTTGACTGGTTTCCTGCGTTTATCACGGGGGCCACGTCAGGAGCCATTGCTGCGGGAGCCACGGCCAGAGCCACCACTGCATCGCGCCTGCCGTCCTCTGCTGTGACCCCTCGGGCCCCGCACCCCAGTCACACAAGCCAGCCCGTTGCCAAGACCACGGCAGCCCCCACCACACGTCGGCCCCCCACCACTGCCCCCAGCCGTGTGCCCGGACGTCGGCCCCCGGCCCCCCAGCAGCCTCCAAAGCCCTGTGACTCACAGCCCTGCTTCCACGGGGGGACCTGCCAGGACTGGGCATTGGGCGGGGGCTTCACCTGCAGCTGCCCGGCAGGCAGGGGAGGCGCCGTCTGTGAGAAGGTGCTTGGCGCCCCTGTGCCGGCCTTCGAGGGCCGCTCCTTCCTGGCCTTCCCCACTCTCCGCGCCTACCACACGCTGCGCCTGGCACTGGAATTCCGGGCGCTGGAGCCTCAGGGGCTGCTGCTGTACAATGGCAACGCCCGGGGCAAGGACTTCCTGGCATTGGCGCTGCTAGATGGCCGCGTGCAGCTCAGGTTTGACACAGGTTCGGGGCCGGCGGTGCTGACCAGTGCCGTGCCGGTAGAGCCGGGCCAGTGGCACCGCCTGGAGCTGTCCCGGCACTGGCGCCGGGGCACCCTCTCGGTGGATGGTGAGACCCCTGTTCTGGGCGAGAGTCCCAGTGGCACCGACGGCCTCAACCTGGACACAGACCTCTTTGTGGGCGGCGTACCCGAGGACCAGGCTGCCGTGGCGCTGGAGCGGACCTTCGTGGGCGCCGGCCTGAGGGGGTGCATCCGTTTGCTGGACGTCAACAACCAGCGCCTGGAGCTTGGCATTGGGCCGGGGGCTGCCACCCGAGGCTCTGGCGTGGGCGAGTGCGGGGACCACCCCTGCCTGCCCAACCCCTGCCATGGCGGGGCCCCATGCCAGAACCTGGAGGCTGGAAGGTTCCATTGCCAGTGCCCGCCCGGCCGCGTCGGACCAACCTGTGCCGATGAGAAGAGCCCCTGCCAGCCCAACCCCTGCCATGGGGCGGCGCCCTGCCGTGTGCTGCCCGAGGGTGGTGCTCAGTGCGAGTGCCCCCTGGGGCGTGAGGGCACCTTCTGCCAGACAGCCTCGGGGCAGGACGGCTCTGGGCCCTTCCTGGCTGACTTCAACGGCTTCTCCCACCTGGAGCTGAGAGGCCTGCACACCTTTGCACGGGACCTGGGGGAGAAGATGGCGCTGGAGGTCGTGTTCCTGGCACGAGGCCCCAGCGGCCTCCTGCTCTACAACGGGCAGAAGACGGACGGCAAGGGGGACTTCGTGTCGCTGGCACTGCGGGACCGCCGCCTGGAGTTCCGCTACGACCTGGGCAAGGGGGCAGCGGTCATCAGGAGCAGGGAGCCAGTCACCCTGGGAGCCTGGACCAGGGTCTCACTGGAGCGAAACGGCCGCAAGGGTGCCCTGCGTGTGGGCGACGGCCCCCGTGTGTTGGGGGAGTCCCCGAAATCCCGCAAGGTTCCGCACACCGTCCTCAACCTGAAGGAGCCGCTCTACGTAGGGGGCGCTCCCGACTTCAGCAAGCTGGCCCGTGCTGCTGCCGTGTCCTCTGGCTTCGACGGTGCCATCCAGCTGGTCTCCCTCGGAGGCCGCCAGCTGCTGACCCCGGAGCACGTGCTGCGGCAGGTGGACGTCACGTCCTTTGCAGGTCACCCCTGCACCCGGGCCTCAGGCCACCCCTGCCTCAATGGGGCCTCCTGCGTCCCGAGGGAGGCTGCCTATGTGTGCCTGTGTCCCGGGGGATTCTCAGGACCGCACTGCGAGAAGGGGCTGGTGGAGAAGTCAGCGGGGGACGTGGATACCTTGGCCTTTGACGGGCGGACCTTTGTCGAGTACCTCAACGCTGTGACCGAGAGCGAGAAGGCACTGCAGAGCAACCACTTTGAACTGAGCCTGCGCACTGAGGCCACGCAGGGGCTGGTGCTCTGGAGTGGCAAGGCCACGGAGCGGGCAGACTATGTGGCACTGGCCATTGTGGACGGGCACCTGCAACTGAGCTACAACCTGGGCTCCCAGCCCGTGGTGCTGCGTTCCACCGTGCCCGTCAACACCAACCGCTGGTTGCGGGTCGTGGCACATAGGGAGCAGAGGGAAGGTTCCCTGCAGGTGGGCAATGAGGCCCCTGTGACCGGCTCCTCCCCGCTGGGCGCCACGCAGCTGGACACTGATGGAGCCCTGTGGCTTGGGCCTTTCCAAGCCCCCATTTGA\n",
      "lcl|NC_000001.11_cds_NP_001292204.1_41 [gene=AGRN] [db_xref=GeneID:375790] [protein=agrin isoform 1 precursor] [protein_id=NP_001292204.1] [location=join(1020173..1020373,1022201..1022462,1035277..1035324,1040665..1040880,1041173..1041397,1041478..1041702,1041956..1042162,1043239..1043457,1043538..1043732,1043823..1044023,1044109..1044257,1044334..1044439,1045161..1045277,1045359..1045523,1045733..1045876,1045964..1046088,1046160..1046265,1046397..1046735,1046820..1046957,1047327..1047454,1047573..1047687,1047776..1047895,1048012..1048365,1048867..1049059,1049236..1049451,1049566..1049795,1049903..1050037,1050233..1050329,1050427..1050591,1050726..1050837,1051032..1051043,1051253..1051369,1051453..1051645,1051728..1051815,1051993..1052016,1053461..1053493,1053753..1053977,1054448..1054551,1054824..1054981)] [gbkey=CDS]\n",
      "ATGGCCGGCCGGTCCCACCCGGGCCCGCTGCGGCCGCTGCTGCCGCTCCTTGTGGTGGCCGCGTGCGTCCTGCCCGGAGCCGGCGGGACATGCCCGGAGCGCGCGCTGGAGCGGCGCGAGGAGGAGGCGAACGTGGTGCTCACCGGGACGGTGGAGGAGATCCTCAACGTGGACCCGGTGCAGCACACGTACTCCTGCAAGGTTCGGGTCTGGCGGTACTTGAAGGGCAAAGACCTGGTGGCCCGGGAGAGCCTGCTGGACGGCGGCAACAAGGTGGTGATCAGCGGCTTTGGAGACCCCCTCATCTGTGACAACCAGGTGTCCACTGGGGACACCAGGATCTTCTTTGTGAACCCTGCACCCCCATACCTGTGGCCAGCCCACAAGAACGAGCTGATGCTCAACTCCAGCCTCATGCGGATCACCCTGCGGAACCTGGAGGAGGTGGAGTTCTGTGTGGAAGATAAACCCGGGACCCACTTCACTCCAGTGCCTCCGACGCCTCCTGATGCGTGCCGGGGAATGCTGTGCGGCTTCGGCGCCGTGTGCGAGCCCAACGCGGAGGGGCCGGGCCGGGCGTCCTGCGTCTGCAAGAAGAGCCCGTGCCCCAGCGTGGTGGCGCCTGTGTGTGGGTCGGACGCCTCCACCTACAGCAACGAATGCGAGCTGCAGCGGGCGCAGTGCAGCCAGCAGCGCCGCATCCGCCTGCTCAGCCGCGGGCCGTGCGGCTCGCGGGACCCCTGCTCCAACGTGACCTGCAGCTTCGGCAGCACCTGTGCGCGCTCGGCCGACGGGCTGACGGCCTCGTGCCTGTGCCCCGCGACCTGCCGTGGCGCCCCCGAGGGGACCGTCTGCGGCAGCGACGGCGCCGACTACCCCGGCGAGTGCCAGCTCCTGCGCCGCGCCTGCGCCCGCCAGGAGAATGTCTTCAAGAAGTTCGACGGCCCTTGTGACCCCTGTCAGGGCGCCCTCCCTGACCCGAGCCGCAGCTGCCGTGTGAACCCGCGCACGCGGCGCCCTGAGATGCTCCTACGGCCCGAGAGCTGCCCTGCCCGGCAGGCGCCAGTGTGTGGGGACGACGGAGTCACCTACGAAAACGACTGTGTCATGGGCCGATCGGGGGCCGCCCGGGGTCTCCTCCTGCAGAAAGTGCGCTCCGGCCAGTGCCAGGGTCGAGACCAGTGCCCGGAGCCCTGCCGGTTCAATGCCGTGTGCCTGTCCCGCCGTGGCCGTCCCCGCTGCTCCTGCGACCGCGTCACCTGTGACGGGGCCTACAGGCCCGTGTGTGCCCAGGACGGGCGCACGTATGACAGTGATTGCTGGCGGCAGCAGGCTGAGTGCCGGCAGCAGCGTGCCATCCCCAGCAAGCACCAGGGCCCGTGTGACCAGGCCCCGTCCCCATGCCTCGGGGTGCAGTGTGCATTTGGGGCGACGTGTGCTGTGAAGAACGGGCAGGCAGCGTGTGAATGCCTGCAGGCGTGCTCGAGCCTCTACGATCCTGTGTGCGGCAGCGACGGCGTCACATACGGCAGCGCGTGCGAGCTGGAGGCCACGGCCTGTACCCTCGGGCGGGAGATCCAGGTGGCGCGCAAAGGACCCTGTGACCGCTGCGGGCAGTGCCGCTTTGGAGCCCTGTGCGAGGCCGAGACCGGGCGCTGCGTGTGCCCCTCTGAATGCGTGGCTTTGGCCCAGCCCGTGTGTGGCTCCGACGGGCACACGTACCCCAGCGAGTGCATGCTGCACGTGCACGCCTGCACACACCAGATCAGCCTGCACGTGGCCTCAGCTGGACCCTGTGAGACCTGTGGAGATGCCGTGTGTGCTTTTGGGGCTGTGTGCTCCGCAGGGCAGTGTGTGTGTCCCCGGTGTGAGCACCCCCCGCCCGGCCCCGTGTGTGGCAGCGACGGTGTCACCTACGGCAGTGCCTGCGAGCTACGGGAAGCCGCCTGCCTCCAGCAGACACAGATCGAGGAGGCCCGGGCAGGGCCGTGCGAGCAGGCCGAGTGCGGTTCCGGAGGCTCTGGCTCTGGGGAGGACGGTGACTGTGAGCAGGAGCTGTGCCGGCAGCGCGGTGGCATCTGGGACGAGGACTCGGAGGACGGGCCGTGTGTCTGTGACTTCAGCTGCCAGAGTGTCCCAGGCAGCCCGGTGTGCGGCTCAGATGGGGTCACCTACAGCACCGAGTGTGAGCTGAAGAAGGCCAGGTGTGAGTCACAGCGAGGGCTCTACGTAGCGGCCCAGGGAGCCTGCCGAGGCCCCACCTTCGCCCCGCTGCCGCCTGTGGCCCCCTTACACTGTGCCCAGACGCCCTACGGCTGCTGCCAGGACAATATCACCGCAGCCCGGGGCGTGGGCCTGGCTGGCTGCCCCAGTGCCTGCCAGTGCAACCCCCATGGCTCTTACGGCGGCACCTGTGACCCAGCCACAGGCCAGTGCTCCTGCCGCCCAGGTGTGGGGGGCCTCAGGTGTGACCGCTGTGAGCCTGGCTTCTGGAACTTTCGAGGCATCGTCACCGATGGCCGGAGTGGCTGTACACCCTGCAGCTGTGATCCCCAAGGCGCCGTGCGGGATGACTGTGAGCAGATGACGGGGCTGTGCTCGTGTAAGCCCGGGGTGGCTGGACCCAAGTGTGGGCAGTGTCCAGACGGCCGTGCCCTGGGCCCCGCGGGCTGTGAAGCTGACGCTTCTGCGCCTGCGACCTGTGCGGAGATGCGCTGTGAGTTCGGTGCGCGGTGCGTGGAGGAGTCTGGCTCAGCCCACTGTGTCTGCCCGATGCTCACCTGTCCAGAGGCCAACGCTACCAAGGTCTGTGGGTCAGATGGAGTCACATACGGCAACGAGTGTCAGCTGAAGACCATCGCCTGCCGCCAGGGCCTGCAAATCTCTATCCAGAGCCTGGGCCCGTGCCAGGAGGCTGTTGCTCCCAGCACTCACCCGACATCTGCCTCCGTGACTGTGACCACCCCAGGGCTCCTCCTGAGCCAGGCACTGCCGGCCCCCCCCGGCGCCCTCCCCCTGGCTCCCAGCAGTACCGCACACAGCCAGACCACCCCTCCGCCCTCATCACGACCTCGGACCACTGCCAGCGTCCCCAGGACCACCGTGTGGCCCGTGCTGACGGTGCCCCCCACGGCACCCTCCCCTGCACCCAGCCTGGTGGCGTCCGCCTTTGGTGAATCTGGCAGCACTGATGGAAGCAGCGATGAGGAACTGAGCGGGGACCAGGAGGCCAGTGGGGGTGGCTCTGGGGGGCTCGAGCCCTTGGAGGGCAGCAGCGTGGCCACCCCTGGGCCACCTGTCGAGAGGGCTTCCTGCTACAACTCCGCGTTGGGCTGCTGCTCTGATGGGAAGACGCCCTCGCTGGACGCAGAGGGCTCCAACTGCCCCGCCACCAAGGTGTTCCAGGGCGTCCTGGAGCTGGAGGGCGTCGAGGGCCAGGAGCTGTTCTACACGCCCGAGATGGCTGACCCCAAGTCAGAACTGTTCGGGGAGACAGCCAGGAGCATTGAGAGCACCCTGGACGACCTCTTCCGGAATTCAGACGTCAAGAAGGATTTTCGGAGTGTCCGCTTGCGGGACCTGGGGCCCGGCAAATCCGTCCGCGCCATTGTGGATGTGCACTTTGACCCCACCACAGCCTTCAGGGCACCCGACGTGGCCCGGGCCCTGCTCCGGCAGATCCAGGTGTCCAGGCGCCGGTCCTTGGGGGTGAGGCGGCCGCTGCAGGAGCACGTGCGATTTATGGACTTTGACTGGTTTCCTGCGTTTATCACGGGGGCCACGTCAGGAGCCATTGCTGCGGGAGCCACGGCCAGAGCCACCACTGCATCGCGCCTGCCGTCCTCTGCTGTGACCCCTCGGGCCCCGCACCCCAGTCACACAAGCCAGCCCGTTGCCAAGACCACGGCAGCCCCCACCACACGTCGGCCCCCCACCACTGCCCCCAGCCGTGTGCCCGGACGTCGGCCCCCGGCCCCCCAGCAGCCTCCAAAGCCCTGTGACTCACAGCCCTGCTTCCACGGGGGGACCTGCCAGGACTGGGCATTGGGCGGGGGCTTCACCTGCAGCTGCCCGGCAGGCAGGGGAGGCGCCGTCTGTGAGAAGGTGCTTGGCGCCCCTGTGCCGGCCTTCGAGGGCCGCTCCTTCCTGGCCTTCCCCACTCTCCGCGCCTACCACACGCTGCGCCTGGCACTGGAATTCCGGGCGCTGGAGCCTCAGGGGCTGCTGCTGTACAATGGCAACGCCCGGGGCAAGGACTTCCTGGCATTGGCGCTGCTAGATGGCCGCGTGCAGCTCAGGTTTGACACAGGTTCGGGGCCGGCGGTGCTGACCAGTGCCGTGCCGGTAGAGCCGGGCCAGTGGCACCGCCTGGAGCTGTCCCGGCACTGGCGCCGGGGCACCCTCTCGGTGGATGGTGAGACCCCTGTTCTGGGCGAGAGTCCCAGTGGCACCGACGGCCTCAACCTGGACACAGACCTCTTTGTGGGCGGCGTACCCGAGGACCAGGCTGCCGTGGCGCTGGAGCGGACCTTCGTGGGCGCCGGCCTGAGGGGGTGCATCCGTTTGCTGGACGTCAACAACCAGCGCCTGGAGCTTGGCATTGGGCCGGGGGCTGCCACCCGAGGCTCTGGCGTGGGCGAGTGCGGGGACCACCCCTGCCTGCCCAACCCCTGCCATGGCGGGGCCCCATGCCAGAACCTGGAGGCTGGAAGGTTCCATTGCCAGTGCCCGCCCGGCCGCGTCGGACCAACCTGTGCCGATGAGAAGAGCCCCTGCCAGCCCAACCCCTGCCATGGGGCGGCGCCCTGCCGTGTGCTGCCCGAGGGTGGTGCTCAGTGCGAGTGCCCCCTGGGGCGTGAGGGCACCTTCTGCCAGACAGCCTCGGGGCAGGACGGCTCTGGGCCCTTCCTGGCTGACTTCAACGGCTTCTCCCACCTGGAGCTGAGAGGCCTGCACACCTTTGCACGGGACCTGGGGGAGAAGATGGCGCTGGAGGTCGTGTTCCTGGCACGAGGCCCCAGCGGCCTCCTGCTCTACAACGGGCAGAAGACGGACGGCAAGGGGGACTTCGTGTCGCTGGCACTGCGGGACCGCCGCCTGGAGTTCCGCTACGACCTGGGCAAGGGGGCAGCGGTCATCAGGAGCAGGGAGCCAGTCACCCTGGGAGCCTGGACCAGGGTCTCACTGGAGCGAAACGGCCGCAAGGGTGCCCTGCGTGTGGGCGACGGCCCCCGTGTGTTGGGGGAGTCCCCGAAATCCCGCAAGGTTCCGCACACCGTCCTCAACCTGAAGGAGCCGCTCTACGTAGGGGGCGCTCCCGACTTCAGCAAGCTGGCCCGTGCTGCTGCCGTGTCCTCTGGCTTCGACGGTGCCATCCAGCTGGTCTCCCTCGGAGGCCGCCAGCTGCTGACCCCGGAGCACGTGCTGCGGCAGGTGGACGTCACGTCCTTTGCAGGTCACCCCTGCACCCGGGCCTCAGGCCACCCCTGCCTCAATGGGGCCTCCTGCGTCCCGAGGGAGGCTGCCTATGTGTGCCTGTGTCCCGGGGGATTCTCAGGACCGCACTGCGAGAAGGGGCTGGTGGAGAAGTCAGCGGGGGACGTGGATACCTTGGCCTTTGACGGGCGGACCTTTGTCGAGTACCTCAACGCTGTGACCGAGAGCGAACTGGCCAATGAGATCCCCGTCCCCGAAACTCTGGATTCCGGGGCCCTTCACAGCGAGAAGGCACTGCAGAGCAACCACTTTGAACTGAGCCTGCGCACTGAGGCCACGCAGGGGCTGGTGCTCTGGAGTGGCAAGGCCACGGAGCGGGCAGACTATGTGGCACTGGCCATTGTGGACGGGCACCTGCAACTGAGCTACAACCTGGGCTCCCAGCCCGTGGTGCTGCGTTCCACCGTGCCCGTCAACACCAACCGCTGGTTGCGGGTCGTGGCACATAGGGAGCAGAGGGAAGGTTCCCTGCAGGTGGGCAATGAGGCCCCTGTGACCGGCTCCTCCCCGCTGGGCGCCACGCAGCTGGACACTGATGGAGCCCTGTGGCTTGGGGGCCTGCCGGAGCTGCCCGTGGGCCCAGCACTGCCCAAGGCCTACGGCACAGGCTTTGTGGGCTGCTTGCGGGACGTGGTGGTGGGCCGGCACCCGCTGCACCTGCTGGAGGACGCCGTCACCAAGCCAGAGCTGCGGCCCTGCCCCACCCCATGA\n",
      "lcl|NC_000001.11_cds_XP_005244806.1_42 [gene=AGRN] [db_xref=GeneID:375790] [protein=agrin isoform X1] [protein_id=XP_005244806.1] [location=join(1020173..1020373,1022201..1022462,1035277..1035324,1040665..1040880,1041173..1041397,1041478..1041702,1041956..1042162,1043239..1043457,1043538..1043732,1043823..1044023,1044109..1044257,1044334..1044439,1045161..1045277,1045359..1045523,1045733..1045876,1045964..1046088,1046160..1046265,1046397..1046735,1046820..1046957,1047327..1047454,1047573..1047687,1047776..1047895,1048012..1048365,1048867..1049059,1049236..1049451,1049566..1049795,1049903..1050037,1050233..1050329,1050427..1050591,1050726..1050837,1051032..1051043,1051253..1051369,1051453..1051645,1051728..1051815,1053753..1053977,1054448..1054551,1054824..1054981)] [gbkey=CDS]\n",
      "ATGGCCGGCCGGTCCCACCCGGGCCCGCTGCGGCCGCTGCTGCCGCTCCTTGTGGTGGCCGCGTGCGTCCTGCCCGGAGCCGGCGGGACATGCCCGGAGCGCGCGCTGGAGCGGCGCGAGGAGGAGGCGAACGTGGTGCTCACCGGGACGGTGGAGGAGATCCTCAACGTGGACCCGGTGCAGCACACGTACTCCTGCAAGGTTCGGGTCTGGCGGTACTTGAAGGGCAAAGACCTGGTGGCCCGGGAGAGCCTGCTGGACGGCGGCAACAAGGTGGTGATCAGCGGCTTTGGAGACCCCCTCATCTGTGACAACCAGGTGTCCACTGGGGACACCAGGATCTTCTTTGTGAACCCTGCACCCCCATACCTGTGGCCAGCCCACAAGAACGAGCTGATGCTCAACTCCAGCCTCATGCGGATCACCCTGCGGAACCTGGAGGAGGTGGAGTTCTGTGTGGAAGATAAACCCGGGACCCACTTCACTCCAGTGCCTCCGACGCCTCCTGATGCGTGCCGGGGAATGCTGTGCGGCTTCGGCGCCGTGTGCGAGCCCAACGCGGAGGGGCCGGGCCGGGCGTCCTGCGTCTGCAAGAAGAGCCCGTGCCCCAGCGTGGTGGCGCCTGTGTGTGGGTCGGACGCCTCCACCTACAGCAACGAATGCGAGCTGCAGCGGGCGCAGTGCAGCCAGCAGCGCCGCATCCGCCTGCTCAGCCGCGGGCCGTGCGGCTCGCGGGACCCCTGCTCCAACGTGACCTGCAGCTTCGGCAGCACCTGTGCGCGCTCGGCCGACGGGCTGACGGCCTCGTGCCTGTGCCCCGCGACCTGCCGTGGCGCCCCCGAGGGGACCGTCTGCGGCAGCGACGGCGCCGACTACCCCGGCGAGTGCCAGCTCCTGCGCCGCGCCTGCGCCCGCCAGGAGAATGTCTTCAAGAAGTTCGACGGCCCTTGTGACCCCTGTCAGGGCGCCCTCCCTGACCCGAGCCGCAGCTGCCGTGTGAACCCGCGCACGCGGCGCCCTGAGATGCTCCTACGGCCCGAGAGCTGCCCTGCCCGGCAGGCGCCAGTGTGTGGGGACGACGGAGTCACCTACGAAAACGACTGTGTCATGGGCCGATCGGGGGCCGCCCGGGGTCTCCTCCTGCAGAAAGTGCGCTCCGGCCAGTGCCAGGGTCGAGACCAGTGCCCGGAGCCCTGCCGGTTCAATGCCGTGTGCCTGTCCCGCCGTGGCCGTCCCCGCTGCTCCTGCGACCGCGTCACCTGTGACGGGGCCTACAGGCCCGTGTGTGCCCAGGACGGGCGCACGTATGACAGTGATTGCTGGCGGCAGCAGGCTGAGTGCCGGCAGCAGCGTGCCATCCCCAGCAAGCACCAGGGCCCGTGTGACCAGGCCCCGTCCCCATGCCTCGGGGTGCAGTGTGCATTTGGGGCGACGTGTGCTGTGAAGAACGGGCAGGCAGCGTGTGAATGCCTGCAGGCGTGCTCGAGCCTCTACGATCCTGTGTGCGGCAGCGACGGCGTCACATACGGCAGCGCGTGCGAGCTGGAGGCCACGGCCTGTACCCTCGGGCGGGAGATCCAGGTGGCGCGCAAAGGACCCTGTGACCGCTGCGGGCAGTGCCGCTTTGGAGCCCTGTGCGAGGCCGAGACCGGGCGCTGCGTGTGCCCCTCTGAATGCGTGGCTTTGGCCCAGCCCGTGTGTGGCTCCGACGGGCACACGTACCCCAGCGAGTGCATGCTGCACGTGCACGCCTGCACACACCAGATCAGCCTGCACGTGGCCTCAGCTGGACCCTGTGAGACCTGTGGAGATGCCGTGTGTGCTTTTGGGGCTGTGTGCTCCGCAGGGCAGTGTGTGTGTCCCCGGTGTGAGCACCCCCCGCCCGGCCCCGTGTGTGGCAGCGACGGTGTCACCTACGGCAGTGCCTGCGAGCTACGGGAAGCCGCCTGCCTCCAGCAGACACAGATCGAGGAGGCCCGGGCAGGGCCGTGCGAGCAGGCCGAGTGCGGTTCCGGAGGCTCTGGCTCTGGGGAGGACGGTGACTGTGAGCAGGAGCTGTGCCGGCAGCGCGGTGGCATCTGGGACGAGGACTCGGAGGACGGGCCGTGTGTCTGTGACTTCAGCTGCCAGAGTGTCCCAGGCAGCCCGGTGTGCGGCTCAGATGGGGTCACCTACAGCACCGAGTGTGAGCTGAAGAAGGCCAGGTGTGAGTCACAGCGAGGGCTCTACGTAGCGGCCCAGGGAGCCTGCCGAGGCCCCACCTTCGCCCCGCTGCCGCCTGTGGCCCCCTTACACTGTGCCCAGACGCCCTACGGCTGCTGCCAGGACAATATCACCGCAGCCCGGGGCGTGGGCCTGGCTGGCTGCCCCAGTGCCTGCCAGTGCAACCCCCATGGCTCTTACGGCGGCACCTGTGACCCAGCCACAGGCCAGTGCTCCTGCCGCCCAGGTGTGGGGGGCCTCAGGTGTGACCGCTGTGAGCCTGGCTTCTGGAACTTTCGAGGCATCGTCACCGATGGCCGGAGTGGCTGTACACCCTGCAGCTGTGATCCCCAAGGCGCCGTGCGGGATGACTGTGAGCAGATGACGGGGCTGTGCTCGTGTAAGCCCGGGGTGGCTGGACCCAAGTGTGGGCAGTGTCCAGACGGCCGTGCCCTGGGCCCCGCGGGCTGTGAAGCTGACGCTTCTGCGCCTGCGACCTGTGCGGAGATGCGCTGTGAGTTCGGTGCGCGGTGCGTGGAGGAGTCTGGCTCAGCCCACTGTGTCTGCCCGATGCTCACCTGTCCAGAGGCCAACGCTACCAAGGTCTGTGGGTCAGATGGAGTCACATACGGCAACGAGTGTCAGCTGAAGACCATCGCCTGCCGCCAGGGCCTGCAAATCTCTATCCAGAGCCTGGGCCCGTGCCAGGAGGCTGTTGCTCCCAGCACTCACCCGACATCTGCCTCCGTGACTGTGACCACCCCAGGGCTCCTCCTGAGCCAGGCACTGCCGGCCCCCCCCGGCGCCCTCCCCCTGGCTCCCAGCAGTACCGCACACAGCCAGACCACCCCTCCGCCCTCATCACGACCTCGGACCACTGCCAGCGTCCCCAGGACCACCGTGTGGCCCGTGCTGACGGTGCCCCCCACGGCACCCTCCCCTGCACCCAGCCTGGTGGCGTCCGCCTTTGGTGAATCTGGCAGCACTGATGGAAGCAGCGATGAGGAACTGAGCGGGGACCAGGAGGCCAGTGGGGGTGGCTCTGGGGGGCTCGAGCCCTTGGAGGGCAGCAGCGTGGCCACCCCTGGGCCACCTGTCGAGAGGGCTTCCTGCTACAACTCCGCGTTGGGCTGCTGCTCTGATGGGAAGACGCCCTCGCTGGACGCAGAGGGCTCCAACTGCCCCGCCACCAAGGTGTTCCAGGGCGTCCTGGAGCTGGAGGGCGTCGAGGGCCAGGAGCTGTTCTACACGCCCGAGATGGCTGACCCCAAGTCAGAACTGTTCGGGGAGACAGCCAGGAGCATTGAGAGCACCCTGGACGACCTCTTCCGGAATTCAGACGTCAAGAAGGATTTTCGGAGTGTCCGCTTGCGGGACCTGGGGCCCGGCAAATCCGTCCGCGCCATTGTGGATGTGCACTTTGACCCCACCACAGCCTTCAGGGCACCCGACGTGGCCCGGGCCCTGCTCCGGCAGATCCAGGTGTCCAGGCGCCGGTCCTTGGGGGTGAGGCGGCCGCTGCAGGAGCACGTGCGATTTATGGACTTTGACTGGTTTCCTGCGTTTATCACGGGGGCCACGTCAGGAGCCATTGCTGCGGGAGCCACGGCCAGAGCCACCACTGCATCGCGCCTGCCGTCCTCTGCTGTGACCCCTCGGGCCCCGCACCCCAGTCACACAAGCCAGCCCGTTGCCAAGACCACGGCAGCCCCCACCACACGTCGGCCCCCCACCACTGCCCCCAGCCGTGTGCCCGGACGTCGGCCCCCGGCCCCCCAGCAGCCTCCAAAGCCCTGTGACTCACAGCCCTGCTTCCACGGGGGGACCTGCCAGGACTGGGCATTGGGCGGGGGCTTCACCTGCAGCTGCCCGGCAGGCAGGGGAGGCGCCGTCTGTGAGAAGGTGCTTGGCGCCCCTGTGCCGGCCTTCGAGGGCCGCTCCTTCCTGGCCTTCCCCACTCTCCGCGCCTACCACACGCTGCGCCTGGCACTGGAATTCCGGGCGCTGGAGCCTCAGGGGCTGCTGCTGTACAATGGCAACGCCCGGGGCAAGGACTTCCTGGCATTGGCGCTGCTAGATGGCCGCGTGCAGCTCAGGTTTGACACAGGTTCGGGGCCGGCGGTGCTGACCAGTGCCGTGCCGGTAGAGCCGGGCCAGTGGCACCGCCTGGAGCTGTCCCGGCACTGGCGCCGGGGCACCCTCTCGGTGGATGGTGAGACCCCTGTTCTGGGCGAGAGTCCCAGTGGCACCGACGGCCTCAACCTGGACACAGACCTCTTTGTGGGCGGCGTACCCGAGGACCAGGCTGCCGTGGCGCTGGAGCGGACCTTCGTGGGCGCCGGCCTGAGGGGGTGCATCCGTTTGCTGGACGTCAACAACCAGCGCCTGGAGCTTGGCATTGGGCCGGGGGCTGCCACCCGAGGCTCTGGCGTGGGCGAGTGCGGGGACCACCCCTGCCTGCCCAACCCCTGCCATGGCGGGGCCCCATGCCAGAACCTGGAGGCTGGAAGGTTCCATTGCCAGTGCCCGCCCGGCCGCGTCGGACCAACCTGTGCCGATGAGAAGAGCCCCTGCCAGCCCAACCCCTGCCATGGGGCGGCGCCCTGCCGTGTGCTGCCCGAGGGTGGTGCTCAGTGCGAGTGCCCCCTGGGGCGTGAGGGCACCTTCTGCCAGACAGCCTCGGGGCAGGACGGCTCTGGGCCCTTCCTGGCTGACTTCAACGGCTTCTCCCACCTGGAGCTGAGAGGCCTGCACACCTTTGCACGGGACCTGGGGGAGAAGATGGCGCTGGAGGTCGTGTTCCTGGCACGAGGCCCCAGCGGCCTCCTGCTCTACAACGGGCAGAAGACGGACGGCAAGGGGGACTTCGTGTCGCTGGCACTGCGGGACCGCCGCCTGGAGTTCCGCTACGACCTGGGCAAGGGGGCAGCGGTCATCAGGAGCAGGGAGCCAGTCACCCTGGGAGCCTGGACCAGGGTCTCACTGGAGCGAAACGGCCGCAAGGGTGCCCTGCGTGTGGGCGACGGCCCCCGTGTGTTGGGGGAGTCCCCGAAATCCCGCAAGGTTCCGCACACCGTCCTCAACCTGAAGGAGCCGCTCTACGTAGGGGGCGCTCCCGACTTCAGCAAGCTGGCCCGTGCTGCTGCCGTGTCCTCTGGCTTCGACGGTGCCATCCAGCTGGTCTCCCTCGGAGGCCGCCAGCTGCTGACCCCGGAGCACGTGCTGCGGCAGGTGGACGTCACGTCCTTTGCAGGTCACCCCTGCACCCGGGCCTCAGGCCACCCCTGCCTCAATGGGGCCTCCTGCGTCCCGAGGGAGGCTGCCTATGTGTGCCTGTGTCCCGGGGGATTCTCAGGACCGCACTGCGAGAAGGGGCTGGTGGAGAAGTCAGCGGGGGACGTGGATACCTTGGCCTTTGACGGGCGGACCTTTGTCGAGTACCTCAACGCTGTGACCGAGAGCGAGAAGGCACTGCAGAGCAACCACTTTGAACTGAGCCTGCGCACTGAGGCCACGCAGGGGCTGGTGCTCTGGAGTGGCAAGGCCACGGAGCGGGCAGACTATGTGGCACTGGCCATTGTGGACGGGCACCTGCAACTGAGCTACAACCTGGGCTCCCAGCCCGTGGTGCTGCGTTCCACCGTGCCCGTCAACACCAACCGCTGGTTGCGGGTCGTGGCACATAGGGAGCAGAGGGAAGGTTCCCTGCAGGTGGGCAATGAGGCCCCTGTGACCGGCTCCTCCCCGCTGGGCGCCACGCAGCTGGACACTGATGGAGCCCTGTGGCTTGGGGGCCTGCCGGAGCTGCCCGTGGGCCCAGCACTGCCCAAGGCCTACGGCACAGGCTTTGTGGGCTGCTTGCGGGACGTGGTGGTGGGCCGGCACCCGCTGCACCTGCTGGAGGACGCCGTCACCAAGCCAGAGCTGCGGCCCTGCCCCACCCCATGA\n",
      "lcl|NC_000001.11_cds_NP_940978.2_43 [gene=AGRN] [db_xref=CCDS:CCDS30551.1,Ensembl:ENSP00000368678.2,GeneID:375790] [protein=agrin isoform 2 precursor] [protein_id=NP_940978.2] [location=join(1020173..1020373,1022201..1022462,1035277..1035324,1040665..1040880,1041173..1041397,1041478..1041702,1041956..1042162,1043239..1043457,1043538..1043732,1043823..1044023,1044109..1044257,1044334..1044439,1045161..1045277,1045359..1045523,1045733..1045876,1045964..1046088,1046160..1046265,1046397..1046735,1046820..1046957,1047327..1047454,1047573..1047687,1047776..1047895,1048012..1048365,1048867..1049059,1049236..1049451,1049566..1049795,1049903..1050037,1050233..1050329,1050427..1050591,1050726..1050837,1051253..1051369,1051453..1051645,1051728..1051815,1053753..1053977,1054448..1054551,1054824..1054981)] [gbkey=CDS]\n",
      "ATGGCCGGCCGGTCCCACCCGGGCCCGCTGCGGCCGCTGCTGCCGCTCCTTGTGGTGGCCGCGTGCGTCCTGCCCGGAGCCGGCGGGACATGCCCGGAGCGCGCGCTGGAGCGGCGCGAGGAGGAGGCGAACGTGGTGCTCACCGGGACGGTGGAGGAGATCCTCAACGTGGACCCGGTGCAGCACACGTACTCCTGCAAGGTTCGGGTCTGGCGGTACTTGAAGGGCAAAGACCTGGTGGCCCGGGAGAGCCTGCTGGACGGCGGCAACAAGGTGGTGATCAGCGGCTTTGGAGACCCCCTCATCTGTGACAACCAGGTGTCCACTGGGGACACCAGGATCTTCTTTGTGAACCCTGCACCCCCATACCTGTGGCCAGCCCACAAGAACGAGCTGATGCTCAACTCCAGCCTCATGCGGATCACCCTGCGGAACCTGGAGGAGGTGGAGTTCTGTGTGGAAGATAAACCCGGGACCCACTTCACTCCAGTGCCTCCGACGCCTCCTGATGCGTGCCGGGGAATGCTGTGCGGCTTCGGCGCCGTGTGCGAGCCCAACGCGGAGGGGCCGGGCCGGGCGTCCTGCGTCTGCAAGAAGAGCCCGTGCCCCAGCGTGGTGGCGCCTGTGTGTGGGTCGGACGCCTCCACCTACAGCAACGAATGCGAGCTGCAGCGGGCGCAGTGCAGCCAGCAGCGCCGCATCCGCCTGCTCAGCCGCGGGCCGTGCGGCTCGCGGGACCCCTGCTCCAACGTGACCTGCAGCTTCGGCAGCACCTGTGCGCGCTCGGCCGACGGGCTGACGGCCTCGTGCCTGTGCCCCGCGACCTGCCGTGGCGCCCCCGAGGGGACCGTCTGCGGCAGCGACGGCGCCGACTACCCCGGCGAGTGCCAGCTCCTGCGCCGCGCCTGCGCCCGCCAGGAGAATGTCTTCAAGAAGTTCGACGGCCCTTGTGACCCCTGTCAGGGCGCCCTCCCTGACCCGAGCCGCAGCTGCCGTGTGAACCCGCGCACGCGGCGCCCTGAGATGCTCCTACGGCCCGAGAGCTGCCCTGCCCGGCAGGCGCCAGTGTGTGGGGACGACGGAGTCACCTACGAAAACGACTGTGTCATGGGCCGATCGGGGGCCGCCCGGGGTCTCCTCCTGCAGAAAGTGCGCTCCGGCCAGTGCCAGGGTCGAGACCAGTGCCCGGAGCCCTGCCGGTTCAATGCCGTGTGCCTGTCCCGCCGTGGCCGTCCCCGCTGCTCCTGCGACCGCGTCACCTGTGACGGGGCCTACAGGCCCGTGTGTGCCCAGGACGGGCGCACGTATGACAGTGATTGCTGGCGGCAGCAGGCTGAGTGCCGGCAGCAGCGTGCCATCCCCAGCAAGCACCAGGGCCCGTGTGACCAGGCCCCGTCCCCATGCCTCGGGGTGCAGTGTGCATTTGGGGCGACGTGTGCTGTGAAGAACGGGCAGGCAGCGTGTGAATGCCTGCAGGCGTGCTCGAGCCTCTACGATCCTGTGTGCGGCAGCGACGGCGTCACATACGGCAGCGCGTGCGAGCTGGAGGCCACGGCCTGTACCCTCGGGCGGGAGATCCAGGTGGCGCGCAAAGGACCCTGTGACCGCTGCGGGCAGTGCCGCTTTGGAGCCCTGTGCGAGGCCGAGACCGGGCGCTGCGTGTGCCCCTCTGAATGCGTGGCTTTGGCCCAGCCCGTGTGTGGCTCCGACGGGCACACGTACCCCAGCGAGTGCATGCTGCACGTGCACGCCTGCACACACCAGATCAGCCTGCACGTGGCCTCAGCTGGACCCTGTGAGACCTGTGGAGATGCCGTGTGTGCTTTTGGGGCTGTGTGCTCCGCAGGGCAGTGTGTGTGTCCCCGGTGTGAGCACCCCCCGCCCGGCCCCGTGTGTGGCAGCGACGGTGTCACCTACGGCAGTGCCTGCGAGCTACGGGAAGCCGCCTGCCTCCAGCAGACACAGATCGAGGAGGCCCGGGCAGGGCCGTGCGAGCAGGCCGAGTGCGGTTCCGGAGGCTCTGGCTCTGGGGAGGACGGTGACTGTGAGCAGGAGCTGTGCCGGCAGCGCGGTGGCATCTGGGACGAGGACTCGGAGGACGGGCCGTGTGTCTGTGACTTCAGCTGCCAGAGTGTCCCAGGCAGCCCGGTGTGCGGCTCAGATGGGGTCACCTACAGCACCGAGTGTGAGCTGAAGAAGGCCAGGTGTGAGTCACAGCGAGGGCTCTACGTAGCGGCCCAGGGAGCCTGCCGAGGCCCCACCTTCGCCCCGCTGCCGCCTGTGGCCCCCTTACACTGTGCCCAGACGCCCTACGGCTGCTGCCAGGACAATATCACCGCAGCCCGGGGCGTGGGCCTGGCTGGCTGCCCCAGTGCCTGCCAGTGCAACCCCCATGGCTCTTACGGCGGCACCTGTGACCCAGCCACAGGCCAGTGCTCCTGCCGCCCAGGTGTGGGGGGCCTCAGGTGTGACCGCTGTGAGCCTGGCTTCTGGAACTTTCGAGGCATCGTCACCGATGGCCGGAGTGGCTGTACACCCTGCAGCTGTGATCCCCAAGGCGCCGTGCGGGATGACTGTGAGCAGATGACGGGGCTGTGCTCGTGTAAGCCCGGGGTGGCTGGACCCAAGTGTGGGCAGTGTCCAGACGGCCGTGCCCTGGGCCCCGCGGGCTGTGAAGCTGACGCTTCTGCGCCTGCGACCTGTGCGGAGATGCGCTGTGAGTTCGGTGCGCGGTGCGTGGAGGAGTCTGGCTCAGCCCACTGTGTCTGCCCGATGCTCACCTGTCCAGAGGCCAACGCTACCAAGGTCTGTGGGTCAGATGGAGTCACATACGGCAACGAGTGTCAGCTGAAGACCATCGCCTGCCGCCAGGGCCTGCAAATCTCTATCCAGAGCCTGGGCCCGTGCCAGGAGGCTGTTGCTCCCAGCACTCACCCGACATCTGCCTCCGTGACTGTGACCACCCCAGGGCTCCTCCTGAGCCAGGCACTGCCGGCCCCCCCCGGCGCCCTCCCCCTGGCTCCCAGCAGTACCGCACACAGCCAGACCACCCCTCCGCCCTCATCACGACCTCGGACCACTGCCAGCGTCCCCAGGACCACCGTGTGGCCCGTGCTGACGGTGCCCCCCACGGCACCCTCCCCTGCACCCAGCCTGGTGGCGTCCGCCTTTGGTGAATCTGGCAGCACTGATGGAAGCAGCGATGAGGAACTGAGCGGGGACCAGGAGGCCAGTGGGGGTGGCTCTGGGGGGCTCGAGCCCTTGGAGGGCAGCAGCGTGGCCACCCCTGGGCCACCTGTCGAGAGGGCTTCCTGCTACAACTCCGCGTTGGGCTGCTGCTCTGATGGGAAGACGCCCTCGCTGGACGCAGAGGGCTCCAACTGCCCCGCCACCAAGGTGTTCCAGGGCGTCCTGGAGCTGGAGGGCGTCGAGGGCCAGGAGCTGTTCTACACGCCCGAGATGGCTGACCCCAAGTCAGAACTGTTCGGGGAGACAGCCAGGAGCATTGAGAGCACCCTGGACGACCTCTTCCGGAATTCAGACGTCAAGAAGGATTTTCGGAGTGTCCGCTTGCGGGACCTGGGGCCCGGCAAATCCGTCCGCGCCATTGTGGATGTGCACTTTGACCCCACCACAGCCTTCAGGGCACCCGACGTGGCCCGGGCCCTGCTCCGGCAGATCCAGGTGTCCAGGCGCCGGTCCTTGGGGGTGAGGCGGCCGCTGCAGGAGCACGTGCGATTTATGGACTTTGACTGGTTTCCTGCGTTTATCACGGGGGCCACGTCAGGAGCCATTGCTGCGGGAGCCACGGCCAGAGCCACCACTGCATCGCGCCTGCCGTCCTCTGCTGTGACCCCTCGGGCCCCGCACCCCAGTCACACAAGCCAGCCCGTTGCCAAGACCACGGCAGCCCCCACCACACGTCGGCCCCCCACCACTGCCCCCAGCCGTGTGCCCGGACGTCGGCCCCCGGCCCCCCAGCAGCCTCCAAAGCCCTGTGACTCACAGCCCTGCTTCCACGGGGGGACCTGCCAGGACTGGGCATTGGGCGGGGGCTTCACCTGCAGCTGCCCGGCAGGCAGGGGAGGCGCCGTCTGTGAGAAGGTGCTTGGCGCCCCTGTGCCGGCCTTCGAGGGCCGCTCCTTCCTGGCCTTCCCCACTCTCCGCGCCTACCACACGCTGCGCCTGGCACTGGAATTCCGGGCGCTGGAGCCTCAGGGGCTGCTGCTGTACAATGGCAACGCCCGGGGCAAGGACTTCCTGGCATTGGCGCTGCTAGATGGCCGCGTGCAGCTCAGGTTTGACACAGGTTCGGGGCCGGCGGTGCTGACCAGTGCCGTGCCGGTAGAGCCGGGCCAGTGGCACCGCCTGGAGCTGTCCCGGCACTGGCGCCGGGGCACCCTCTCGGTGGATGGTGAGACCCCTGTTCTGGGCGAGAGTCCCAGTGGCACCGACGGCCTCAACCTGGACACAGACCTCTTTGTGGGCGGCGTACCCGAGGACCAGGCTGCCGTGGCGCTGGAGCGGACCTTCGTGGGCGCCGGCCTGAGGGGGTGCATCCGTTTGCTGGACGTCAACAACCAGCGCCTGGAGCTTGGCATTGGGCCGGGGGCTGCCACCCGAGGCTCTGGCGTGGGCGAGTGCGGGGACCACCCCTGCCTGCCCAACCCCTGCCATGGCGGGGCCCCATGCCAGAACCTGGAGGCTGGAAGGTTCCATTGCCAGTGCCCGCCCGGCCGCGTCGGACCAACCTGTGCCGATGAGAAGAGCCCCTGCCAGCCCAACCCCTGCCATGGGGCGGCGCCCTGCCGTGTGCTGCCCGAGGGTGGTGCTCAGTGCGAGTGCCCCCTGGGGCGTGAGGGCACCTTCTGCCAGACAGCCTCGGGGCAGGACGGCTCTGGGCCCTTCCTGGCTGACTTCAACGGCTTCTCCCACCTGGAGCTGAGAGGCCTGCACACCTTTGCACGGGACCTGGGGGAGAAGATGGCGCTGGAGGTCGTGTTCCTGGCACGAGGCCCCAGCGGCCTCCTGCTCTACAACGGGCAGAAGACGGACGGCAAGGGGGACTTCGTGTCGCTGGCACTGCGGGACCGCCGCCTGGAGTTCCGCTACGACCTGGGCAAGGGGGCAGCGGTCATCAGGAGCAGGGAGCCAGTCACCCTGGGAGCCTGGACCAGGGTCTCACTGGAGCGAAACGGCCGCAAGGGTGCCCTGCGTGTGGGCGACGGCCCCCGTGTGTTGGGGGAGTCCCCGGTTCCGCACACCGTCCTCAACCTGAAGGAGCCGCTCTACGTAGGGGGCGCTCCCGACTTCAGCAAGCTGGCCCGTGCTGCTGCCGTGTCCTCTGGCTTCGACGGTGCCATCCAGCTGGTCTCCCTCGGAGGCCGCCAGCTGCTGACCCCGGAGCACGTGCTGCGGCAGGTGGACGTCACGTCCTTTGCAGGTCACCCCTGCACCCGGGCCTCAGGCCACCCCTGCCTCAATGGGGCCTCCTGCGTCCCGAGGGAGGCTGCCTATGTGTGCCTGTGTCCCGGGGGATTCTCAGGACCGCACTGCGAGAAGGGGCTGGTGGAGAAGTCAGCGGGGGACGTGGATACCTTGGCCTTTGACGGGCGGACCTTTGTCGAGTACCTCAACGCTGTGACCGAGAGCGAGAAGGCACTGCAGAGCAACCACTTTGAACTGAGCCTGCGCACTGAGGCCACGCAGGGGCTGGTGCTCTGGAGTGGCAAGGCCACGGAGCGGGCAGACTATGTGGCACTGGCCATTGTGGACGGGCACCTGCAACTGAGCTACAACCTGGGCTCCCAGCCCGTGGTGCTGCGTTCCACCGTGCCCGTCAACACCAACCGCTGGTTGCGGGTCGTGGCACATAGGGAGCAGAGGGAAGGTTCCCTGCAGGTGGGCAATGAGGCCCCTGTGACCGGCTCCTCCCCGCTGGGCGCCACGCAGCTGGACACTGATGGAGCCCTGTGGCTTGGGGGCCTGCCGGAGCTGCCCGTGGGCCCAGCACTGCCCAAGGCCTACGGCACAGGCTTTGTGGGCTGCTTGCGGGACGTGGTGGTGGGCCGGCACCCGCTGCACCTGCTGGAGGACGCCGTCACCAAGCCAGAGCTGCGGCCCTGCCCCACCCCATGA\n",
      "lcl|NC_000001.11_cds_NP_001351656.1_44 [gene=AGRN] [db_xref=GeneID:375790] [protein=agrin isoform 3] [protein_id=NP_001351656.1] [location=join(1034556..1034703,1035277..1035324,1040665..1040880,1041173..1041397,1041478..1041702,1041956..1042162,1043239..1043457,1043538..1043732,1043823..1044023,1044109..1044257,1044334..1044439,1045161..1045277,1045359..1045523,1045733..1045876,1045964..1046088,1046160..1046265,1046397..1046735,1046820..1046957,1047327..1047454,1047573..1047687,1047776..1047895,1048012..1048365,1048867..1049059,1049236..1049451,1049566..1049795,1049903..1050037,1050233..1050329,1050427..1050591,1050726..1050837,1051032..1051043,1051253..1051369,1051453..1051645,1051728..1051815,1053753..1053977,1054448..1054551,1054824..1054981)] [gbkey=CDS]\n",
      "ATGCCTCCGCTGCCGCTGGCGCGGGACACCCGGCAGCCGCCTGGCGCCTCCCTGCTGGTGCGAGGCTTCATGGTGCCCTGCAACGCCTGCCTGATCCTGCTGGCCACCGCCACGCTCGGCTTCGCGGTGCTGCTGTTCCTCAACAACTATAAACCCGGGACCCACTTCACTCCAGTGCCTCCGACGCCTCCTGATGCGTGCCGGGGAATGCTGTGCGGCTTCGGCGCCGTGTGCGAGCCCAACGCGGAGGGGCCGGGCCGGGCGTCCTGCGTCTGCAAGAAGAGCCCGTGCCCCAGCGTGGTGGCGCCTGTGTGTGGGTCGGACGCCTCCACCTACAGCAACGAATGCGAGCTGCAGCGGGCGCAGTGCAGCCAGCAGCGCCGCATCCGCCTGCTCAGCCGCGGGCCGTGCGGCTCGCGGGACCCCTGCTCCAACGTGACCTGCAGCTTCGGCAGCACCTGTGCGCGCTCGGCCGACGGGCTGACGGCCTCGTGCCTGTGCCCCGCGACCTGCCGTGGCGCCCCCGAGGGGACCGTCTGCGGCAGCGACGGCGCCGACTACCCCGGCGAGTGCCAGCTCCTGCGCCGCGCCTGCGCCCGCCAGGAGAATGTCTTCAAGAAGTTCGACGGCCCTTGTGACCCCTGTCAGGGCGCCCTCCCTGACCCGAGCCGCAGCTGCCGTGTGAACCCGCGCACGCGGCGCCCTGAGATGCTCCTACGGCCCGAGAGCTGCCCTGCCCGGCAGGCGCCAGTGTGTGGGGACGACGGAGTCACCTACGAAAACGACTGTGTCATGGGCCGATCGGGGGCCGCCCGGGGTCTCCTCCTGCAGAAAGTGCGCTCCGGCCAGTGCCAGGGTCGAGACCAGTGCCCGGAGCCCTGCCGGTTCAATGCCGTGTGCCTGTCCCGCCGTGGCCGTCCCCGCTGCTCCTGCGACCGCGTCACCTGTGACGGGGCCTACAGGCCCGTGTGTGCCCAGGACGGGCGCACGTATGACAGTGATTGCTGGCGGCAGCAGGCTGAGTGCCGGCAGCAGCGTGCCATCCCCAGCAAGCACCAGGGCCCGTGTGACCAGGCCCCGTCCCCATGCCTCGGGGTGCAGTGTGCATTTGGGGCGACGTGTGCTGTGAAGAACGGGCAGGCAGCGTGTGAATGCCTGCAGGCGTGCTCGAGCCTCTACGATCCTGTGTGCGGCAGCGACGGCGTCACATACGGCAGCGCGTGCGAGCTGGAGGCCACGGCCTGTACCCTCGGGCGGGAGATCCAGGTGGCGCGCAAAGGACCCTGTGACCGCTGCGGGCAGTGCCGCTTTGGAGCCCTGTGCGAGGCCGAGACCGGGCGCTGCGTGTGCCCCTCTGAATGCGTGGCTTTGGCCCAGCCCGTGTGTGGCTCCGACGGGCACACGTACCCCAGCGAGTGCATGCTGCACGTGCACGCCTGCACACACCAGATCAGCCTGCACGTGGCCTCAGCTGGACCCTGTGAGACCTGTGGAGATGCCGTGTGTGCTTTTGGGGCTGTGTGCTCCGCAGGGCAGTGTGTGTGTCCCCGGTGTGAGCACCCCCCGCCCGGCCCCGTGTGTGGCAGCGACGGTGTCACCTACGGCAGTGCCTGCGAGCTACGGGAAGCCGCCTGCCTCCAGCAGACACAGATCGAGGAGGCCCGGGCAGGGCCGTGCGAGCAGGCCGAGTGCGGTTCCGGAGGCTCTGGCTCTGGGGAGGACGGTGACTGTGAGCAGGAGCTGTGCCGGCAGCGCGGTGGCATCTGGGACGAGGACTCGGAGGACGGGCCGTGTGTCTGTGACTTCAGCTGCCAGAGTGTCCCAGGCAGCCCGGTGTGCGGCTCAGATGGGGTCACCTACAGCACCGAGTGTGAGCTGAAGAAGGCCAGGTGTGAGTCACAGCGAGGGCTCTACGTAGCGGCCCAGGGAGCCTGCCGAGGCCCCACCTTCGCCCCGCTGCCGCCTGTGGCCCCCTTACACTGTGCCCAGACGCCCTACGGCTGCTGCCAGGACAATATCACCGCAGCCCGGGGCGTGGGCCTGGCTGGCTGCCCCAGTGCCTGCCAGTGCAACCCCCATGGCTCTTACGGCGGCACCTGTGACCCAGCCACAGGCCAGTGCTCCTGCCGCCCAGGTGTGGGGGGCCTCAGGTGTGACCGCTGTGAGCCTGGCTTCTGGAACTTTCGAGGCATCGTCACCGATGGCCGGAGTGGCTGTACACCCTGCAGCTGTGATCCCCAAGGCGCCGTGCGGGATGACTGTGAGCAGATGACGGGGCTGTGCTCGTGTAAGCCCGGGGTGGCTGGACCCAAGTGTGGGCAGTGTCCAGACGGCCGTGCCCTGGGCCCCGCGGGCTGTGAAGCTGACGCTTCTGCGCCTGCGACCTGTGCGGAGATGCGCTGTGAGTTCGGTGCGCGGTGCGTGGAGGAGTCTGGCTCAGCCCACTGTGTCTGCCCGATGCTCACCTGTCCAGAGGCCAACGCTACCAAGGTCTGTGGGTCAGATGGAGTCACATACGGCAACGAGTGTCAGCTGAAGACCATCGCCTGCCGCCAGGGCCTGCAAATCTCTATCCAGAGCCTGGGCCCGTGCCAGGAGGCTGTTGCTCCCAGCACTCACCCGACATCTGCCTCCGTGACTGTGACCACCCCAGGGCTCCTCCTGAGCCAGGCACTGCCGGCCCCCCCCGGCGCCCTCCCCCTGGCTCCCAGCAGTACCGCACACAGCCAGACCACCCCTCCGCCCTCATCACGACCTCGGACCACTGCCAGCGTCCCCAGGACCACCGTGTGGCCCGTGCTGACGGTGCCCCCCACGGCACCCTCCCCTGCACCCAGCCTGGTGGCGTCCGCCTTTGGTGAATCTGGCAGCACTGATGGAAGCAGCGATGAGGAACTGAGCGGGGACCAGGAGGCCAGTGGGGGTGGCTCTGGGGGGCTCGAGCCCTTGGAGGGCAGCAGCGTGGCCACCCCTGGGCCACCTGTCGAGAGGGCTTCCTGCTACAACTCCGCGTTGGGCTGCTGCTCTGATGGGAAGACGCCCTCGCTGGACGCAGAGGGCTCCAACTGCCCCGCCACCAAGGTGTTCCAGGGCGTCCTGGAGCTGGAGGGCGTCGAGGGCCAGGAGCTGTTCTACACGCCCGAGATGGCTGACCCCAAGTCAGAACTGTTCGGGGAGACAGCCAGGAGCATTGAGAGCACCCTGGACGACCTCTTCCGGAATTCAGACGTCAAGAAGGATTTTCGGAGTGTCCGCTTGCGGGACCTGGGGCCCGGCAAATCCGTCCGCGCCATTGTGGATGTGCACTTTGACCCCACCACAGCCTTCAGGGCACCCGACGTGGCCCGGGCCCTGCTCCGGCAGATCCAGGTGTCCAGGCGCCGGTCCTTGGGGGTGAGGCGGCCGCTGCAGGAGCACGTGCGATTTATGGACTTTGACTGGTTTCCTGCGTTTATCACGGGGGCCACGTCAGGAGCCATTGCTGCGGGAGCCACGGCCAGAGCCACCACTGCATCGCGCCTGCCGTCCTCTGCTGTGACCCCTCGGGCCCCGCACCCCAGTCACACAAGCCAGCCCGTTGCCAAGACCACGGCAGCCCCCACCACACGTCGGCCCCCCACCACTGCCCCCAGCCGTGTGCCCGGACGTCGGCCCCCGGCCCCCCAGCAGCCTCCAAAGCCCTGTGACTCACAGCCCTGCTTCCACGGGGGGACCTGCCAGGACTGGGCATTGGGCGGGGGCTTCACCTGCAGCTGCCCGGCAGGCAGGGGAGGCGCCGTCTGTGAGAAGGTGCTTGGCGCCCCTGTGCCGGCCTTCGAGGGCCGCTCCTTCCTGGCCTTCCCCACTCTCCGCGCCTACCACACGCTGCGCCTGGCACTGGAATTCCGGGCGCTGGAGCCTCAGGGGCTGCTGCTGTACAATGGCAACGCCCGGGGCAAGGACTTCCTGGCATTGGCGCTGCTAGATGGCCGCGTGCAGCTCAGGTTTGACACAGGTTCGGGGCCGGCGGTGCTGACCAGTGCCGTGCCGGTAGAGCCGGGCCAGTGGCACCGCCTGGAGCTGTCCCGGCACTGGCGCCGGGGCACCCTCTCGGTGGATGGTGAGACCCCTGTTCTGGGCGAGAGTCCCAGTGGCACCGACGGCCTCAACCTGGACACAGACCTCTTTGTGGGCGGCGTACCCGAGGACCAGGCTGCCGTGGCGCTGGAGCGGACCTTCGTGGGCGCCGGCCTGAGGGGGTGCATCCGTTTGCTGGACGTCAACAACCAGCGCCTGGAGCTTGGCATTGGGCCGGGGGCTGCCACCCGAGGCTCTGGCGTGGGCGAGTGCGGGGACCACCCCTGCCTGCCCAACCCCTGCCATGGCGGGGCCCCATGCCAGAACCTGGAGGCTGGAAGGTTCCATTGCCAGTGCCCGCCCGGCCGCGTCGGACCAACCTGTGCCGATGAGAAGAGCCCCTGCCAGCCCAACCCCTGCCATGGGGCGGCGCCCTGCCGTGTGCTGCCCGAGGGTGGTGCTCAGTGCGAGTGCCCCCTGGGGCGTGAGGGCACCTTCTGCCAGACAGCCTCGGGGCAGGACGGCTCTGGGCCCTTCCTGGCTGACTTCAACGGCTTCTCCCACCTGGAGCTGAGAGGCCTGCACACCTTTGCACGGGACCTGGGGGAGAAGATGGCGCTGGAGGTCGTGTTCCTGGCACGAGGCCCCAGCGGCCTCCTGCTCTACAACGGGCAGAAGACGGACGGCAAGGGGGACTTCGTGTCGCTGGCACTGCGGGACCGCCGCCTGGAGTTCCGCTACGACCTGGGCAAGGGGGCAGCGGTCATCAGGAGCAGGGAGCCAGTCACCCTGGGAGCCTGGACCAGGGTCTCACTGGAGCGAAACGGCCGCAAGGGTGCCCTGCGTGTGGGCGACGGCCCCCGTGTGTTGGGGGAGTCCCCGAAATCCCGCAAGGTTCCGCACACCGTCCTCAACCTGAAGGAGCCGCTCTACGTAGGGGGCGCTCCCGACTTCAGCAAGCTGGCCCGTGCTGCTGCCGTGTCCTCTGGCTTCGACGGTGCCATCCAGCTGGTCTCCCTCGGAGGCCGCCAGCTGCTGACCCCGGAGCACGTGCTGCGGCAGGTGGACGTCACGTCCTTTGCAGGTCACCCCTGCACCCGGGCCTCAGGCCACCCCTGCCTCAATGGGGCCTCCTGCGTCCCGAGGGAGGCTGCCTATGTGTGCCTGTGTCCCGGGGGATTCTCAGGACCGCACTGCGAGAAGGGGCTGGTGGAGAAGTCAGCGGGGGACGTGGATACCTTGGCCTTTGACGGGCGGACCTTTGTCGAGTACCTCAACGCTGTGACCGAGAGCGAGAAGGCACTGCAGAGCAACCACTTTGAACTGAGCCTGCGCACTGAGGCCACGCAGGGGCTGGTGCTCTGGAGTGGCAAGGCCACGGAGCGGGCAGACTATGTGGCACTGGCCATTGTGGACGGGCACCTGCAACTGAGCTACAACCTGGGCTCCCAGCCCGTGGTGCTGCGTTCCACCGTGCCCGTCAACACCAACCGCTGGTTGCGGGTCGTGGCACATAGGGAGCAGAGGGAAGGTTCCCTGCAGGTGGGCAATGAGGCCCCTGTGACCGGCTCCTCCCCGCTGGGCGCCACGCAGCTGGACACTGATGGAGCCCTGTGGCTTGGGGGCCTGCCGGAGCTGCCCGTGGGCCCAGCACTGCCCAAGGCCTACGGCACAGGCTTTGTGGGCTGCTTGCGGGACGTGGTGGTGGGCCGGCACCCGCTGCACCTGCTGGAGGACGCCGTCACCAAGCCAGAGCTGCGGCCCTGCCCCACCCCATGA\n",
      "lcl|NC_000001.11_cds_NP_001192181.1_45 [gene=RNF223] [db_xref=CCDS:CCDS53257.1,Ensembl:ENSP00000410533.1,GeneID:401934] [protein=RING finger protein 223] [protein_id=NP_001192181.1] [location=complement(1071817..1072566)] [gbkey=CDS]\n",
      "ATGTCGTCAGGCCAGCAGGTGTGGCACACGGCTGTGCCACCCCCTCGCCGGAGCAGCTCCATAGCCTCGATGCCCAGGTCCCCCAGCTCGGCCGGCAGCCCCAGGTCCCCTGGCACCCCTGGCTCGGAGAGGGTGGCCTCCCCCCTGGAGTGCTCCATCTGTTTCTCAGGCTATGACAACATCTTCAAGACACCCAAGGAGCTCTCCTGCACCCACGTCTTCTGCCTGGAGTGCCTGGCCCGGCTGGCGGCTGCTCAGCCTGTGGGCCGCCCCGGTGGTGAGGCTGTACCTTGCCCCTTCTGCAGGCAGCCCACGGCCGTGCCGCCCGCCGGAGCCCCCGCGCTGTGCACCAGCCGCCAGCTGCAGGCCCGGATGCCGGCGCATTTGCGGCGTGAGGAGCCTGTGTGGCTGGAGGGCACCAAGCTGTGCTGCCAGCCACTGCCCACCACACCTGGCCGCGAGCCCGGTTTCGTATGCGTGGACGTGGGTTTGAGCAAGCCTGCCGAGCCGCCCGCGCCCGCCCGGGACCCTGCCCCCCGCCGGGGCCGCCTGGCCCGCTGCTGGGCGCGCTGCAGGGACTGGAGGCGCATGGCACTGGTCTCTGCCCTGCTGCTGATGCTCTTCTGTGTGGCACTCTGGCCGGTGCAGTGCGCGCTCAAGACCGGGAACCTGCGCTGCCTGCCCCTGCCCCCCCGGCCCCCGGCCACCAGCACAGCCGCCTCCCCCCTCGGGCCTCTGACTGATAATTAG\n",
      "lcl|NC_000001.11_cds_NP_060361.4_46 [gene=C1orf159] [db_xref=CCDS:CCDS7.2,Ensembl:ENSP00000400736.2,GeneID:54991] [protein=uncharacterized protein C1orf159 isoform 2 precursor] [protein_id=NP_060361.4] [location=complement(join(1082893..1082987,1084353..1084383,1084481..1084506,1085878..1086012,1087139..1087204,1087502..1087597,1090353..1090428,1091472..1091543))] [gbkey=CDS]\n",
      "ATGGCGCTGCGGCACCTCGCCCTCCTGGCTGGCCTTCTCGTGGGAGTCGCCAGCAAGTCCATGGAGAACACGGCCCAGCTGCCCGAGTGCTGTGTGGATGTGGTGGGCGTCAACGCCAGCTGCCCAGGCGCAAGTCTGTGTGGTCCAGGCTGTTACAGGCGCTGGAACGCGGACGGGAGCGCCAGCTGCGTCCGCTGTGGGAACGGAACCCTCCCAGCCTACAACGGCTCCGAGTGTAGAAGCTTTGCTGGCCCGGGTGCGCCATTCCCCATGAACAGAAGCTCAGGGACCCCCGGGCGGCCACATCCTGGGGCTCCGCGCGTGGCCGCCTCCCTCTTCCTGGGCACGTTCTTCATTAGCTCCGGCCTCATCCTCTCCGTAGCTGGGTTCTTCTACCTCAAGCGCTCCAGTAAACTCCCCAGGGCCTGCTACAGAAGAAACAAAGCTCCGGCCCTGCAGCCTGGCGAAGCCGCTGCAATGATCCCCCCGCCACAGTCCTCAGTACGGAAGCCGCGCTACGTCAGGCGGGAGCGGCCCCTGGACAGGGCCACGGATCCCGCTGCCTTCCCGGGGGAGGCCCGTATCAGCAATGTCTGA\n",
      "lcl|NC_000001.11_cds_NP_001350454.1_47 [gene=C1orf159] [db_xref=CCDS:CCDS85917.1,GeneID:54991] [protein=uncharacterized protein C1orf159 isoform 3 precursor] [protein_id=NP_001350454.1] [location=complement(join(1082893..1082987,1083915..1084383,1084481..1084506,1085878..1086012,1087139..1087204,1087502..1087597,1090353..1090428,1091472..1091543))] [gbkey=CDS]\n",
      "ATGGCGCTGCGGCACCTCGCCCTCCTGGCTGGCCTTCTCGTGGGAGTCGCCAGCAAGTCCATGGAGAACACGGCCCAGCTGCCCGAGTGCTGTGTGGATGTGGTGGGCGTCAACGCCAGCTGCCCAGGCGCAAGTCTGTGTGGTCCAGGCTGTTACAGGCGCTGGAACGCGGACGGGAGCGCCAGCTGCGTCCGCTGTGGGAACGGAACCCTCCCAGCCTACAACGGCTCCGAGTGTAGAAGCTTTGCTGGCCCGGGTGCGCCATTCCCCATGAACAGAAGCTCAGGGACCCCCGGGCGGCCACATCCTGGGGCTCCGCGCGTGGCCGCCTCCCTCTTCCTGGGCACGTTCTTCATTAGCTCCGGCCTCATCCTCTCCGTAGCTGGGTTCTTCTACCTCAAGCGCTCCAGTAAACTCCCCAGGGCCTGCTACAGAAGAAACAAAGCTCCGGCCCTGCAGCCTGGCGAAGCCGCTGCAATGATCCCCCCGCCACAGTCCTCAGGTAACAGCAGCTGTCGCATCCCCCTGTGGGGTTTCCCATCTCTGGGCCAGTCCCAGGGTGCTCTGTGGGTTTGTCCCCAAACGGGTTTGCCTGGCTCTGGATCTCGGCCACCCCTGCCCGGGTCCCCAGGAGACCCACCCACAAGGCAGGGCCAGGGCCGGATTTGGCTGGTGCCCCCTGCTCTGGATCTCAGCTGGATTTGGCCGGCGCCCCCTGCCCGCCCCCCTTTAATCCCCGTGACTTCCATGCTCTTTCCTGTTCCCGAGACGTGGGGTCTGCAGGAAAGGAGGACCCACCACGACAGGGCAGACCCCCAATACCTGCTCCTCCTTGAAGTCCAGCTCCACCCGAGGACAGACGCAGCCGGCCTCCGCCAGGCCCTCCTGAGCAGCCATCGCTTCAGTGGTGCTGGGTCAGGCGGACCCAAGAGTCAGCCCGTACGGAAGCCGCGCTACGTCAGGCGGGAGCGGCCCCTGGACAGGGCCACGGATCCCGCTGCCTTCCCGGGGGAGGCCCGTATCAGCAATGTCTGA\n",
      "lcl|NC_000001.11_cds_NP_001317235.1_48 [gene=C1orf159] [db_xref=CCDS:CCDS81250.1,GeneID:54991] [protein=uncharacterized protein C1orf159 isoform 1 precursor] [protein_id=NP_001317235.1] [location=complement(join(1082893..1082987,1083915..1084383,1084481..1084506,1085878..1086012,1087139..1087204,1087502..1087597,1090353..1090428,1090876..1090983,1091472..1091543))] [gbkey=CDS]\n",
      "ATGGCGCTGCGGCACCTCGCCCTCCTGGCTGGCCTTCTCGTGGGAGTCGCCAGCAAGTCCATGGAGAACACGGTCACGAGAAACAGCACAGCTGTGATCAACACACAAGCTGAGGGTACCCTGAGCCCCCCAGGCCTGTCCAGTCTGCCTGTGGTCAGGGAATGGGCCCTCACACACACCGCCCAGCTGCCCGAGTGCTGTGTGGATGTGGTGGGCGTCAACGCCAGCTGCCCAGGCGCAAGTCTGTGTGGTCCAGGCTGTTACAGGCGCTGGAACGCGGACGGGAGCGCCAGCTGCGTCCGCTGTGGGAACGGAACCCTCCCAGCCTACAACGGCTCCGAGTGTAGAAGCTTTGCTGGCCCGGGTGCGCCATTCCCCATGAACAGAAGCTCAGGGACCCCCGGGCGGCCACATCCTGGGGCTCCGCGCGTGGCCGCCTCCCTCTTCCTGGGCACGTTCTTCATTAGCTCCGGCCTCATCCTCTCCGTAGCTGGGTTCTTCTACCTCAAGCGCTCCAGTAAACTCCCCAGGGCCTGCTACAGAAGAAACAAAGCTCCGGCCCTGCAGCCTGGCGAAGCCGCTGCAATGATCCCCCCGCCACAGTCCTCAGGTAACAGCAGCTGTCGCATCCCCCTGTGGGGTTTCCCATCTCTGGGCCAGTCCCAGGGTGCTCTGTGGGTTTGTCCCCAAACGGGTTTGCCTGGCTCTGGATCTCGGCCACCCCTGCCCGGGTCCCCAGGAGACCCACCCACAAGGCAGGGCCAGGGCCGGATTTGGCTGGTGCCCCCTGCTCTGGATCTCAGCTGGATTTGGCCGGCGCCCCCTGCCCGCCCCCCTTTAATCCCCGTGACTTCCATGCTCTTTCCTGTTCCCGAGACGTGGGGTCTGCAGGAAAGGAGGACCCACCACGACAGGGCAGACCCCCAATACCTGCTCCTCCTTGAAGTCCAGCTCCACCCGAGGACAGACGCAGCCGGCCTCCGCCAGGCCCTCCTGAGCAGCCATCGCTTCAGTGGTGCTGGGTCAGGCGGACCCAAGAGTCAGCCCGTACGGAAGCCGCGCTACGTCAGGCGGGAGCGGCCCCTGGACAGGGCCACGGATCCCGCTGCCTTCCCGGGGGAGGCCCGTATCAGCAATGTCTGA\n",
      "lcl|NC_000001.11_cds_XP_016856401.1_49 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X7] [protein_id=XP_016856401.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1196600..1196716,1197093..1197186,1197438..1197847)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGAAGCGGATGCAGCAGATCATGGCCCACTGCTTTCTGGCCGCCAAGCCCAAGCTGGACTGCAAGCTGGGTTACTTTGACCTCATTGGCTGTGACTTCCTGATTGATGACAACTTCAAGGTATGGCTGCTGGAGATGAATTCTAACCCAGCCCTGCACACCAACTGCGAGGTCCTGAAGGAGGTCATCCCAGGTGTGGTCATCGAGACCCTGGACCTGGTGCTCGAGACCTTCCGGAAGAGCCTGCGCGGCCAGAAGATGTTGCCTCTGCTGTCCCAGCGCCGCTTCGTGCTCCTGCACAACGGTGAGGCCGACCCGCGGCCGCACCTGGGGGGCTCGTGCAGCCTCCGCCGCTGGCCGCCCCTGCCCACCCGCCAGGCCAAGTCCTCCGGGCCACCCATGCCGCATGCCCCAGACCAGCCGGGCGCCCGCAGGCCTGCGCCACCTCCCTTGGTGCCGCAGCGTCCCCGGCCACCCGGCCCCGACCTGGACAGCGCCCACGATGGGGAGCCCCAGGCCCCGGGCACGGAGCAGTCGGGCACAGGCAACAGGCACCCGGCGCAAGAGCCTTCCCCGGGGACAGCCAAGGAGGAACGCGAGGAGCCTGAGAACGCGAGGCCCTAG\n",
      "lcl|NC_000001.11_cds_NP_001358578.1_50 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform 1] [protein_id=NP_001358578.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1196600..1196716,1197093..1197186,1197438..1197847)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGAAGCGGATGCAGCAGATCATGGCCCACTGCTTTCTGGCCGCCAAGCCCAAGCTGGACTGCAAGCTGGGTTACTTTGACCTCATTGGCTGTGACTTCCTGATTGATGACAACTTCAAGGTATGGCTGCTGGAGATGAATTCTAACCCAGCCCTGCACACCAACTGCGAGGTCCTGAAGGAGGTCATCCCAGGTGTGGTCATCGAGACCCTGGACCTGGTGCTCGAGACCTTCCGGAAGAGCCTGCGCGGCCAGAAGATGTTGCCTCTGCTGTCCCAGCGCCGCTTCGTGCTCCTGCACAACGGTGAGGCCGACCCGCGGCCGCACCTGGGGGGCTCGTGCAGCCTCCGCCGCTGGCCGCCCCTGCCCACCCGCCAGGCCAAGTCCTCCGGGCCACCCATGCCGCATGCCCCAGACCAGCCGGGCGCCCGCAGGCCTGCGCCACCTCCCTTGGTGCCGCAGCGTCCCCGGCCACCCGGCCCCGACCTGGACAGCGCCCACGATGGGGAGCCCCAGGCCCCGGGCACGGAGCAGTCGGGCACAGGCAACAGGCACCCGGCGCAAGAGCCTTCCCCGGGGACAGCCAAGGAGGAACGCGAGGAGCCTGAGAACGCGAGGCCCTAG\n",
      "lcl|NC_000001.11_cds_NP_001123517.1_51 [gene=TTLL10] [db_xref=CCDS:CCDS44036.1,Ensembl:ENSP00000368591.1,GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform 1] [protein_id=NP_001123517.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1196600..1196716,1197093..1197186,1197438..1197847)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGAAGCGGATGCAGCAGATCATGGCCCACTGCTTTCTGGCCGCCAAGCCCAAGCTGGACTGCAAGCTGGGTTACTTTGACCTCATTGGCTGTGACTTCCTGATTGATGACAACTTCAAGGTATGGCTGCTGGAGATGAATTCTAACCCAGCCCTGCACACCAACTGCGAGGTCCTGAAGGAGGTCATCCCAGGTGTGGTCATCGAGACCCTGGACCTGGTGCTCGAGACCTTCCGGAAGAGCCTGCGCGGCCAGAAGATGTTGCCTCTGCTGTCCCAGCGCCGCTTCGTGCTCCTGCACAACGGTGAGGCCGACCCGCGGCCGCACCTGGGGGGCTCGTGCAGCCTCCGCCGCTGGCCGCCCCTGCCCACCCGCCAGGCCAAGTCCTCCGGGCCACCCATGCCGCATGCCCCAGACCAGCCGGGCGCCCGCAGGCCTGCGCCACCTCCCTTGGTGCCGCAGCGTCCCCGGCCACCCGGCCCCGACCTGGACAGCGCCCACGATGGGGAGCCCCAGGCCCCGGGCACGGAGCAGTCGGGCACAGGCAACAGGCACCCGGCGCAAGAGCCTTCCCCGGGGACAGCCAAGGAGGAACGCGAGGAGCCTGAGAACGCGAGGCCCTAG\n",
      "lcl|NC_000001.11_cds_XP_011539479.1_52 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X7] [protein_id=XP_011539479.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1196600..1196716,1197093..1197186,1197438..1197847)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGAAGCGGATGCAGCAGATCATGGCCCACTGCTTTCTGGCCGCCAAGCCCAAGCTGGACTGCAAGCTGGGTTACTTTGACCTCATTGGCTGTGACTTCCTGATTGATGACAACTTCAAGGTATGGCTGCTGGAGATGAATTCTAACCCAGCCCTGCACACCAACTGCGAGGTCCTGAAGGAGGTCATCCCAGGTGTGGTCATCGAGACCCTGGACCTGGTGCTCGAGACCTTCCGGAAGAGCCTGCGCGGCCAGAAGATGTTGCCTCTGCTGTCCCAGCGCCGCTTCGTGCTCCTGCACAACGGTGAGGCCGACCCGCGGCCGCACCTGGGGGGCTCGTGCAGCCTCCGCCGCTGGCCGCCCCTGCCCACCCGCCAGGCCAAGTCCTCCGGGCCACCCATGCCGCATGCCCCAGACCAGCCGGGCGCCCGCAGGCCTGCGCCACCTCCCTTGGTGCCGCAGCGTCCCCGGCCACCCGGCCCCGACCTGGACAGCGCCCACGATGGGGAGCCCCAGGCCCCGGGCACGGAGCAGTCGGGCACAGGCAACAGGCACCCGGCGCAAGAGCCTTCCCCGGGGACAGCCAAGGAGGAACGCGAGGAGCCTGAGAACGCGAGGCCCTAG\n",
      "lcl|NC_000001.11_cds_XP_016856395.1_53 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X1] [protein_id=XP_016856395.1] [location=join(1179216..1179333,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1196600..1196716,1197093..1197186,1197438..1197847)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGAAGCGGATGCAGCAGATCATGGCCCACTGCTTTCTGGCCGCCAAGCCCAAGCTGGACTGCAAGCTGGGTTACTTTGACCTCATTGGCTGTGACTTCCTGATTGATGACAACTTCAAGGTATGGCTGCTGGAGATGAATTCTAACCCAGCCCTGCACACCAACTGCGAGGTCCTGAAGGAGGTCATCCCAGGTGTGGTCATCGAGACCCTGGACCTGGTGCTCGAGACCTTCCGGAAGAGCCTGCGCGGCCAGAAGATGTTGCCTCTGCTGTCCCAGCGCCGCTTCGTGCTCCTGCACAACGGTGAGGCCGACCCGCGGCCGCACCTGGGGGGCTCGTGCAGCCTCCGCCGCTGGCCGCCCCTGCCCACCCGCCAGGCCAAGTCCTCCGGGCCACCCATGCCGCATGCCCCAGACCAGCCGGGCGCCCGCAGGCCTGCGCCACCTCCCTTGGTGCCGCAGCGTCCCCGGCCACCCGGCCCCGACCTGGACAGCGCCCACGATGGGGAGCCCCAGGCCCCGGGCACGGAGCAGTCGGGCACAGGCAACAGGCACCCGGCGCAAGAGCCTTCCCCGGGGACAGCCAAGGAGGAACGCGAGGAGCCTGAGAACGCGAGGCCCTAG\n",
      "lcl|NC_000001.11_cds_XP_016856398.1_54 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X4] [protein_id=XP_016856398.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1194607..1194708)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGTATTTTTACTTTTGGGAATTTGTGCCATCCCACTGCCTGCCCACCTCACGACCTCTAATGAGAAACTGGCTGTTCATCTTTCTGTGGATGCCTCATACATAA\n",
      "lcl|NC_000001.11_cds_XP_016856400.1_55 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X6] [protein_id=XP_016856400.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1188818..1188883)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGGTCTTCTTCCATTTCTTTCAGCAATGTTTTCTAGTTTTCAGCATACAAGTCTGTCACCTACGGTAA\n",
      "lcl|NC_000001.11_cds_XP_016856397.1_56 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X3] [protein_id=XP_016856397.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1185702..1185848)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGGCCCCGGAAGCAGCAGCCAGGGATGGTCCTTCCTCACCCACAGGCGTGTGTCACTGTGGCTGGGACGGCAGCGCTCAGAGGAGCCTCCAGTTACTTTCCTCACATCTCCCAAACTCTCTCTTAATTGCGATAATTCACAGAACATAA\n",
      "lcl|NC_000001.11_cds_XP_016856399.1_57 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X5] [protein_id=XP_016856399.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1185433..1185525)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGATCCTCCACTTGGCAGGCAGGGCCAACAGCAGCCCCCGGGCCAGGTGTCCTGGAGCAGCAGCAGCTGCCCGTGCAGGCCCGGACTCTCCCTAG\n",
      "lcl|NC_000001.11_cds_XP_016856396.1_58 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X2] [protein_id=XP_016856396.1] [location=join(1179216..1179333,1179657..1179737,1180034..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1185260..1185412)] [gbkey=CDS]\n",
      "ATGGACCACAGCTGCACCCGGTTCATCCACCGCCGGGGACCACCCACTCGGACCCGAGCCGGCTTCAAGAGGGGCAAGAGGCCAAGGATCCAGCAGAGGCCTCGGGCTCGAGTCTCAGGGACCATCCCTGCGTCACGTCTGCACCCAGCACCGGCCTCACAGCCCGGCCCCTGCCCTGCACCAGGCCACTGCCCTGTTGGCCCGGCCCACGAGAGGCCAATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGCGTCTCTGCTCACTTAGCTGGCAGTGCCTGTCCCCAGCAGCCAGCAAAGGCCCGGACGGAAAGCCCAGTCGGGGGTCTGTCGGCACGAGTCCCGCGGGCAGCCTCGCCGTAGGGTCAGGGGACAGCTCGGCTTCAGTGACAGCCACCATGTGA\n",
      "lcl|NC_000001.11_cds_XP_005244795.1_59 [gene=TTLL10] [db_xref=GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform X8] [protein_id=XP_005244795.1] [location=join(1180054..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185109,1196600..1196716,1197093..1197186,1197438..1197847)] [gbkey=CDS]\n",
      "ATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGAAGCGGATGCAGCAGATCATGGCCCACTGCTTTCTGGCCGCCAAGCCCAAGCTGGACTGCAAGCTGGGTTACTTTGACCTCATTGGCTGTGACTTCCTGATTGATGACAACTTCAAGGTATGGCTGCTGGAGATGAATTCTAACCCAGCCCTGCACACCAACTGCGAGGTCCTGAAGGAGGTCATCCCAGGTGTGGTCATCGAGACCCTGGACCTGGTGCTCGAGACCTTCCGGAAGAGCCTGCGCGGCCAGAAGATGTTGCCTCTGCTGTCCCAGCGCCGCTTCGTGCTCCTGCACAACGGTGAGGCCGACCCGCGGCCGCACCTGGGGGGCTCGTGCAGCCTCCGCCGCTGGCCGCCCCTGCCCACCCGCCAGGCCAAGTCCTCCGGGCCACCCATGCCGCATGCCCCAGACCAGCCGGGCGCCCGCAGGCCTGCGCCACCTCCCTTGGTGCCGCAGCGTCCCCGGCCACCCGGCCCCGACCTGGACAGCGCCCACGATGGGGAGCCCCAGGCCCCGGGCACGGAGCAGTCGGGCACAGGCAACAGGCACCCGGCGCAAGAGCCTTCCCCGGGGACAGCCAAGGAGGAACGCGAGGAGCCTGAGAACGCGAGGCCCTAG\n",
      "lcl|NC_000001.11_cds_NP_694986.2_60 [gene=TTLL10] [db_xref=CCDS:CCDS8.1,GeneID:254173] [protein=inactive polyglycylase TTLL10 isoform 2] [protein_id=NP_694986.2] [location=join(1180054..1180340,1180483..1180601,1180731..1180860,1181741..1181815,1182361..1182446,1182876..1183047,1183920..1184091,1184969..1185142)] [gbkey=CDS]\n",
      "ATGGGGAGCAGCCAGGAGGAGGGACTCCGGTGTCAGCCAAGCCAGCCAGACCACGACGCAGATGGACACTGTGGGCCGGACCTGGAGGGGGCAGAAAGAGCCTCTGCCACACCCGGACCCCCTGGGCTCCTGAACAGCCACCGGCCTGCAGACTCGGATGACACTAACGCCGCCGGGCCCTCAGCTGCCCTCCTGGAGGGGCTCCTGCTGGGGGGTGGGAAGCCATCGCCCCACAGCACCCGGCCGGGGCCCTTCTTCTACATTGGAGGCAGCAACGGGGCCACAATCATCAGCTCCTACTGCAAAAGCAAGGGCTGGCAGCGCATCCATGACAGCCGCCGGGACGACTACACGCTGAAGTGGTGTGAGGTCAAGAGCCGAGACAGCTACGGCAGCTTCCGGGAAGGAGAGCAGCTGCTGTACCAGCTTCCCAACAACAAGCTCCTCACCACCAAGATCGGGCTGCTCAGCACCCTTCGGGGACGGGCACGGGCCATGAGCAAGGCCAGCAAGGTGCCGGGGGGGGTCCAGGCCAGGCTGGAAAAGGACGCAGCAGCGCCCGCCCTGGAGGACCTCCCGTGGACAAGCCCAGGATACCTCAGGCCACAGAGGGTCCTGAGAATGGAAGAGTTTTTCCCAGAGACCTACCGCCTGGACCTCAAACACGAGAGAGAGGCCTTTTTCACCTTGTTTGATGAAACCCAGATATGGATCTGCAAGCCCACAGCCTCCAACCAGGGCAAAGGCATCTTCCTGCTCCGGAACCAGGAGGAAGTTGCCGCCCTGCAGGCCAAGACCCGGAGCATGGAGGACGACCCCATCCACCACAAGACGCCGTTCCGGGGGCCTCAGGCGCGGGTGGTGCAGAGGTACATCCAGAACCCGCTGCTGGTGGACGGGAGAAAGTTTGACGTGCGCTCCTACCTGCTCATTGCCTGCACCACACCCTACATGATCTTCTTTGGCCACGGCTATGCTCGCCTCACCCTTAGCCTTTACGACCCCCATTCCAGCGACCTCGGCGGCCACTTGACCAACCAGTTCATGCAGAAGAAGAGCCCTCTGTACATGCTGCTGAAGGAGCACACGGTGTGGAGCATGGAACACCTCAACCGCTACATCAGTGACACGTTCTGGAAGGCCCGGGGCCTCGCCAAGGACTGGGTCTTCACCACCCTCAAGGTGCGTCCACTGTGCCCTCCAGTCTGGGAGTGA\n",
      "lcl|NC_000001.11_cds_NP_683699.1_61 [gene=TNFRSF18] [db_xref=CCDS:CCDS9.1,GeneID:8784] [protein=tumor necrosis factor receptor superfamily member 18 isoform 2 precursor] [protein_id=NP_683699.1] [location=complement(join(1203591..1203960,1204399..1204486,1205370..1205492,1206385..1206571))] [gbkey=CDS]\n",
      "ATGGCACAGCACGGGGCGATGGGCGCGTTTCGGGCCCTGTGCGGCCTGGCGCTGCTGTGCGCGCTCAGCCTGGGTCAGCGCCCCACCGGGGGTCCCGGGTGCGGCCCTGGGCGCCTCCTGCTTGGGACGGGAACGGACGCGCGCTGCTGCCGGGTTCACACGACGCGCTGCTGCCGCGATTACCCGGGCGAGGAGTGCTGTTCCGAGTGGGACTGCATGTGTGTCCAGCCTGAATTCCACTGCGGAGACCCTTGCTGCACGACCTGCCGGCACCACCCTTGTCCCCCAGGCCAGGGGGTACAGTCCCAGGGGAAATTCAGTTTTGGCTTCCAGTGTATCGACTGTGCCTCGGGGACCTTCTCCGGGGGCCACGAAGGCCACTGCAAACCTTGGACAGACTGCTGCTGGAGGTGCCGCCGTCGACCGAAGACGCCAGAAGCTGCCAGTTCCCCGAGGAAGAGCGGGGCGAGCGATCGGCAGAGGAGAAGGGGCGGCTGGGAGACCTGTGGGTGTGAGCCTGGCCGTCCTCCGGGGCCACCGACCGCAGCCAGCCCCTCCCCAGGAGCTCCCCAGGCCGCAGGGGCTCTGCGTTCTGCTCTGGGCCGGGCCCTGCTCCCCTGGCAGCAGAAGTGGGTGCAGGAAGGTGGCAGTGACCAGCGCCCTGGACCATGCAGTTCGGCGGCCGCGGCTGGGCCCTGCAGGAGGGAGAGAGAGACACAGTCATGGCCCCCTTCCTCCCTTGCTGGCCCTGATGGGGTGGGGTCTTAG\n",
      "lcl|NC_000001.11_cds_XP_016858211.1_62 [gene=TNFRSF18] [db_xref=GeneID:8784] [protein=tumor necrosis factor receptor superfamily member 18 isoform X1] [protein_id=XP_016858211.1] [location=complement(join(1203591..1204236,1204399..1204486,1205370..1205492,1206385..1206571))] [gbkey=CDS]\n",
      "ATGGCACAGCACGGGGCGATGGGCGCGTTTCGGGCCCTGTGCGGCCTGGCGCTGCTGTGCGCGCTCAGCCTGGGTCAGCGCCCCACCGGGGGTCCCGGGTGCGGCCCTGGGCGCCTCCTGCTTGGGACGGGAACGGACGCGCGCTGCTGCCGGGTTCACACGACGCGCTGCTGCCGCGATTACCCGGGCGAGGAGTGCTGTTCCGAGTGGGACTGCATGTGTGTCCAGCCTGAATTCCACTGCGGAGACCCTTGCTGCACGACCTGCCGGCACCACCCTTGTCCCCCAGGCCAGGGGGTACAGTCCCAGGGGAAATTCAGTTTTGGCTTCCAGTGTATCGACTGTGCCTCGGGGACCTTCTCCGGGGGCCACGAAGGCCACTGCAAACCTTGGACAGACTGCACCCAGTTCGGGTTTCTCACTGTGTTCCCTGGGAACAAGACCCACAACGCTGTGTGCGTCCCAGGGTCCCCGCCGGCAGAGCCGCTTGGGTGGCTGACCGTCGTCCTCCTGGCCGTGGCCGCCTGCGTCCTCCTCCTGACCTCGGCCCAGCTTGGACTGCACATCTGGCAGCTGAGGAGTCAGTGCATGTGGCCCCGAGGTCTGTCACAGCCTGGTGCGGGGAGGTGGGAGCATGGCTGCCTGCTGACCGTGGCCCCCCTGCAGAGACCCAGCTGCTGCTGGAGGTGCCGCCGTCGACCGAAGACGCCAGAAGCTGCCAGTTCCCCGAGGAAGAGCGGGGCGAGCGATCGGCAGAGGAGAAGGGGCGGCTGGGAGACCTGTGGGTGTGAGCCTGGCCGTCCTCCGGGGCCACCGACCGCAGCCAGCCCCTCCCCAGGAGCTCCCCAGGCCGCAGGGGCTCTGCGTTCTGCTCTGGGCCGGGCCCTGCTCCCCTGGCAGCAGAAGTGGGTGCAGGAAGGTGGCAGTGACCAGCGCCCTGGACCATGCAGTTCGGCGGCCGCGGCTGGGCCCTGCAGGAGGGAGAGAGAGACACAGTCATGGCCCCCTTCCTCCCTTGCTGGCCCTGATGGGGTGGGGTCTTAG\n",
      "lcl|NC_000001.11_cds_NP_683700.1_63 [gene=TNFRSF18] [db_xref=CCDS:CCDS30552.1,GeneID:8784] [protein=tumor necrosis factor receptor superfamily member 18 isoform 3 precursor] [protein_id=NP_683700.1] [location=complement(join(1203844..1203968,1204055..1204236,1204399..1204486,1205370..1205492,1206385..1206571))] [gbkey=CDS]\n",
      "ATGGCACAGCACGGGGCGATGGGCGCGTTTCGGGCCCTGTGCGGCCTGGCGCTGCTGTGCGCGCTCAGCCTGGGTCAGCGCCCCACCGGGGGTCCCGGGTGCGGCCCTGGGCGCCTCCTGCTTGGGACGGGAACGGACGCGCGCTGCTGCCGGGTTCACACGACGCGCTGCTGCCGCGATTACCCGGGCGAGGAGTGCTGTTCCGAGTGGGACTGCATGTGTGTCCAGCCTGAATTCCACTGCGGAGACCCTTGCTGCACGACCTGCCGGCACCACCCTTGTCCCCCAGGCCAGGGGGTACAGTCCCAGGGGAAATTCAGTTTTGGCTTCCAGTGTATCGACTGTGCCTCGGGGACCTTCTCCGGGGGCCACGAAGGCCACTGCAAACCTTGGACAGACTGCACCCAGTTCGGGTTTCTCACTGTGTTCCCTGGGAACAAGACCCACAACGCTGTGTGCGTCCCAGGGTCCCCGCCGGCAGAGCCGCTTGGGTGGCTGACCGTCGTCCTCCTGGCCGTGGCCGCCTGCGTCCTCCTCCTGACCTCGGCCCAGCTTGGACTGCACATCTGGCAGCTGAGGAAGACCCAGCTGCTGCTGGAGGTGCCGCCGTCGACCGAAGACGCCAGAAGCTGCCAGTTCCCCGAGGAAGAGCGGGGCGAGCGATCGGCAGAGGAGAAGGGGCGGCTGGGAGACCTGTGGGTGTGA\n",
      "lcl|NC_000001.11_cds_NP_004186.1_64 [gene=TNFRSF18] [db_xref=CCDS:CCDS10.1,Ensembl:ENSP00000368570.2,GeneID:8784] [protein=tumor necrosis factor receptor superfamily member 18 isoform 1 precursor] [protein_id=NP_004186.1] [location=complement(join(1203844..1203968,1204034..1204236,1204399..1204486,1205370..1205492,1206385..1206571))] [gbkey=CDS]\n",
      "ATGGCACAGCACGGGGCGATGGGCGCGTTTCGGGCCCTGTGCGGCCTGGCGCTGCTGTGCGCGCTCAGCCTGGGTCAGCGCCCCACCGGGGGTCCCGGGTGCGGCCCTGGGCGCCTCCTGCTTGGGACGGGAACGGACGCGCGCTGCTGCCGGGTTCACACGACGCGCTGCTGCCGCGATTACCCGGGCGAGGAGTGCTGTTCCGAGTGGGACTGCATGTGTGTCCAGCCTGAATTCCACTGCGGAGACCCTTGCTGCACGACCTGCCGGCACCACCCTTGTCCCCCAGGCCAGGGGGTACAGTCCCAGGGGAAATTCAGTTTTGGCTTCCAGTGTATCGACTGTGCCTCGGGGACCTTCTCCGGGGGCCACGAAGGCCACTGCAAACCTTGGACAGACTGCACCCAGTTCGGGTTTCTCACTGTGTTCCCTGGGAACAAGACCCACAACGCTGTGTGCGTCCCAGGGTCCCCGCCGGCAGAGCCGCTTGGGTGGCTGACCGTCGTCCTCCTGGCCGTGGCCGCCTGCGTCCTCCTCCTGACCTCGGCCCAGCTTGGACTGCACATCTGGCAGCTGAGGAGTCAGTGCATGTGGCCCCGAGAGACCCAGCTGCTGCTGGAGGTGCCGCCGTCGACCGAAGACGCCAGAAGCTGCCAGTTCCCCGAGGAAGAGCGGGGCGAGCGATCGGCAGAGGAGAAGGGGCGGCTGGGAGACCTGTGGGTGTGA\n",
      "lcl|NC_000001.11_cds_XP_016857721.1_65 [gene=TNFRSF4] [db_xref=GeneID:7293] [protein=tumor necrosis factor receptor superfamily member 4 isoform X4] [protein_id=XP_016857721.1] [location=complement(join(1211555..1211625,1211704..1211832,1211942..1212138,1212638..1212704,1212992..1213093,1213663..1213785,1213983..1214127))] [gbkey=CDS]\n",
      "ATGTGCGTGGGGGCTCGGCGGCTGGGCCGCGGGCCGTGTGCGGCTCTGCTCCTCCTGGGCCTGGGGCTGAGCACCGTGACGGGGCTCCACTGTGTCGGGGACACCTACCCCAGCAACGACCGGTGCTGCCACGAGTGCAGGCCAGGCAACGGGATGGTGAGCCGCTGCAGCCGCTCCCAGAACACGGTGTGCCGTCCGTGCGGGCCGGGCTTCTACAACGACGTGGTCAGCTCCAAGCCGTGCAAGCCCTGCACGTGGTGTAACCTCAGAAGTGGGAGTGAGCGGAAGCAGCTGTGCACGGCCACACAGGACACAGTCTGCCGCTGCCGGGCGGGCACCCAGCCCCTGGACAGCTACAAGCCTGGAGTTGACTGTGCCCCCTGCCCTCCAGGGCACTTCTCCCCAGGCGACAACCAGGCCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCAGCAATAGCTCGGACGCAATCTGTGAGGACAGGGACCCCCCAGCCACGCAGCCCCAGGAGACCCAGGGCCCCCCGGCCAGGCCCATCACTGTCCAGCCCACTGAAGCCTGGCCCAGAACCTCACAGGGACCCTCCACCCGGCCCGTGGAGGTCCCCGGGGGCCGTGCGGTTGCCGCCATCCTGGGCCTGGGCCTGGTGCTGGGGCTGCTGGGCCCCCTGGCCATCCTGCTGGCCCTGTACCTGCTCCGGAGGGACCAGAGGCTGCCCCCCGATGCCCACAAGCCCCCTGGGGGAGGCAGTTTCCGGACCCCCATCCAAGAGGAGCAGGCCGACGCCCACTCCACCCTGGCCAAGATCTGA\n",
      "lcl|NC_000001.11_cds_NP_003318.1_66 [gene=TNFRSF4] [db_xref=CCDS:CCDS11.1,Ensembl:ENSP00000368538.3,GeneID:7293] [protein=tumor necrosis factor receptor superfamily member 4 precursor] [protein_id=NP_003318.1] [location=complement(join(1211555..1211625,1211704..1211832,1211942..1212138,1212638..1212704,1212992..1213093,1213663..1213785,1213983..1214127))] [gbkey=CDS]\n",
      "ATGTGCGTGGGGGCTCGGCGGCTGGGCCGCGGGCCGTGTGCGGCTCTGCTCCTCCTGGGCCTGGGGCTGAGCACCGTGACGGGGCTCCACTGTGTCGGGGACACCTACCCCAGCAACGACCGGTGCTGCCACGAGTGCAGGCCAGGCAACGGGATGGTGAGCCGCTGCAGCCGCTCCCAGAACACGGTGTGCCGTCCGTGCGGGCCGGGCTTCTACAACGACGTGGTCAGCTCCAAGCCGTGCAAGCCCTGCACGTGGTGTAACCTCAGAAGTGGGAGTGAGCGGAAGCAGCTGTGCACGGCCACACAGGACACAGTCTGCCGCTGCCGGGCGGGCACCCAGCCCCTGGACAGCTACAAGCCTGGAGTTGACTGTGCCCCCTGCCCTCCAGGGCACTTCTCCCCAGGCGACAACCAGGCCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCAGCAATAGCTCGGACGCAATCTGTGAGGACAGGGACCCCCCAGCCACGCAGCCCCAGGAGACCCAGGGCCCCCCGGCCAGGCCCATCACTGTCCAGCCCACTGAAGCCTGGCCCAGAACCTCACAGGGACCCTCCACCCGGCCCGTGGAGGTCCCCGGGGGCCGTGCGGTTGCCGCCATCCTGGGCCTGGGCCTGGTGCTGGGGCTGCTGGGCCCCCTGGCCATCCTGCTGGCCCTGTACCTGCTCCGGAGGGACCAGAGGCTGCCCCCCGATGCCCACAAGCCCCCTGGGGGAGGCAGTTTCCGGACCCCCATCCAAGAGGAGCAGGCCGACGCCCACTCCACCCTGGCCAAGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_016857720.1_67 [gene=TNFRSF4] [db_xref=GeneID:7293] [protein=tumor necrosis factor receptor superfamily member 4 isoform X2] [protein_id=XP_016857720.1] [location=complement(join(1211555..1211832,1211942..1212138,1212638..1212704,1212992..1213093,1213663..1213785,1213983..1214127))] [gbkey=CDS]\n",
      "ATGTGCGTGGGGGCTCGGCGGCTGGGCCGCGGGCCGTGTGCGGCTCTGCTCCTCCTGGGCCTGGGGCTGAGCACCGTGACGGGGCTCCACTGTGTCGGGGACACCTACCCCAGCAACGACCGGTGCTGCCACGAGTGCAGGCCAGGCAACGGGATGGTGAGCCGCTGCAGCCGCTCCCAGAACACGGTGTGCCGTCCGTGCGGGCCGGGCTTCTACAACGACGTGGTCAGCTCCAAGCCGTGCAAGCCCTGCACGTGGTGTAACCTCAGAAGTGGGAGTGAGCGGAAGCAGCTGTGCACGGCCACACAGGACACAGTCTGCCGCTGCCGGGCGGGCACCCAGCCCCTGGACAGCTACAAGCCTGGAGTTGACTGTGCCCCCTGCCCTCCAGGGCACTTCTCCCCAGGCGACAACCAGGCCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCAGCAATAGCTCGGACGCAATCTGTGAGGACAGGGACCCCCCAGCCACGCAGCCCCAGGAGACCCAGGGCCCCCCGGCCAGGCCCATCACTGTCCAGCCCACTGAAGCCTGGCCCAGAACCTCACAGGGACCCTCCACCCGGCCCGTGGAGGTCCCCGGGGGCCGTGCGGTTGCCGCCATCCTGGGCCTGGGCCTGGTGCTGGGGCTGCTGGGCCCCCTGGCCATCCTGCTGGCCCTGTACCTGCTCCGGAGGGACCAGAGGCTGCCCCCCGATGCCCACAAGCCCCCTGGTGAGTGCCTCATGGCCCTGCCGCACTGCTCCTGGCGGGTGAGGCCCACCCACCAATCTCTCCTTTTTTCCTCCCCAGGGGGAGGCAGTTTCCGGACCCCCATCCAAGAGGAGCAGGCCGACGCCCACTCCACCCTGGCCAAGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_011540377.1_68 [gene=TNFRSF4] [db_xref=GeneID:7293] [protein=tumor necrosis factor receptor superfamily member 4 isoform X2] [protein_id=XP_011540377.1] [location=complement(join(1211555..1211832,1211942..1212138,1212638..1212704,1212992..1213093,1213663..1213785,1213983..1214127))] [gbkey=CDS]\n",
      "ATGTGCGTGGGGGCTCGGCGGCTGGGCCGCGGGCCGTGTGCGGCTCTGCTCCTCCTGGGCCTGGGGCTGAGCACCGTGACGGGGCTCCACTGTGTCGGGGACACCTACCCCAGCAACGACCGGTGCTGCCACGAGTGCAGGCCAGGCAACGGGATGGTGAGCCGCTGCAGCCGCTCCCAGAACACGGTGTGCCGTCCGTGCGGGCCGGGCTTCTACAACGACGTGGTCAGCTCCAAGCCGTGCAAGCCCTGCACGTGGTGTAACCTCAGAAGTGGGAGTGAGCGGAAGCAGCTGTGCACGGCCACACAGGACACAGTCTGCCGCTGCCGGGCGGGCACCCAGCCCCTGGACAGCTACAAGCCTGGAGTTGACTGTGCCCCCTGCCCTCCAGGGCACTTCTCCCCAGGCGACAACCAGGCCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCAGCAATAGCTCGGACGCAATCTGTGAGGACAGGGACCCCCCAGCCACGCAGCCCCAGGAGACCCAGGGCCCCCCGGCCAGGCCCATCACTGTCCAGCCCACTGAAGCCTGGCCCAGAACCTCACAGGGACCCTCCACCCGGCCCGTGGAGGTCCCCGGGGGCCGTGCGGTTGCCGCCATCCTGGGCCTGGGCCTGGTGCTGGGGCTGCTGGGCCCCCTGGCCATCCTGCTGGCCCTGTACCTGCTCCGGAGGGACCAGAGGCTGCCCCCCGATGCCCACAAGCCCCCTGGTGAGTGCCTCATGGCCCTGCCGCACTGCTCCTGGCGGGTGAGGCCCACCCACCAATCTCTCCTTTTTTCCTCCCCAGGGGGAGGCAGTTTCCGGACCCCCATCCAAGAGGAGCAGGCCGACGCCCACTCCACCCTGGCCAAGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_011540378.1_69 [gene=TNFRSF4] [db_xref=GeneID:7293] [protein=tumor necrosis factor receptor superfamily member 4 isoform X3] [protein_id=XP_011540378.1] [location=complement(join(1211555..1211625,1211704..1211832,1211942..1212138,1212638..1212704,1212992..1213373))] [gbkey=CDS]\n",
      "ATGGAGACCCTGCCGCAGGCGGGGCTGGCGGCTGGAGGCGGTGGAGGGGTAGGGAAGGGTGGCTGGGGCTGCCACGGAACCAGCCCCAGGTTGTGGCCAGGAAGGGAGGGCCCAGGAGCCTCGGGGGCTGCAGGGGCTCCAAGTCTCAGGGGAGGCCGCAGACCCCTGCCCACGGCCCTCTGTGTGGTGGGGAGGCCAACCTGTCCTCCAGTGCCCACGCTTCCTGAGGACCCTGTCCACAGCCCCCACCTGACCACCCCCCCATCCGGCCCCTGCTCAGGAAGTGGGAGTGAGCGGAAGCAGCTGTGCACGGCCACACAGGACACAGTCTGCCGCTGCCGGGCGGGCACCCAGCCCCTGGACAGCTACAAGCCTGGAGTTGACTGTGCCCCCTGCCCTCCAGGGCACTTCTCCCCAGGCGACAACCAGGCCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCAGCAATAGCTCGGACGCAATCTGTGAGGACAGGGACCCCCCAGCCACGCAGCCCCAGGAGACCCAGGGCCCCCCGGCCAGGCCCATCACTGTCCAGCCCACTGAAGCCTGGCCCAGAACCTCACAGGGACCCTCCACCCGGCCCGTGGAGGTCCCCGGGGGCCGTGCGGTTGCCGCCATCCTGGGCCTGGGCCTGGTGCTGGGGCTGCTGGGCCCCCTGGCCATCCTGCTGGCCCTGTACCTGCTCCGGAGGGACCAGAGGCTGCCCCCCGATGCCCACAAGCCCCCTGGGGGAGGCAGTTTCCGGACCCCCATCCAAGAGGAGCAGGCCGACGCCCACTCCACCCTGGCCAAGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_011540376.1_70 [gene=TNFRSF4] [db_xref=GeneID:7293] [protein=tumor necrosis factor receptor superfamily member 4 isoform X1] [protein_id=XP_011540376.1] [location=complement(join(1211555..1211832,1211942..1212138,1212638..1212704,1212992..1213373))] [gbkey=CDS]\n",
      "ATGGAGACCCTGCCGCAGGCGGGGCTGGCGGCTGGAGGCGGTGGAGGGGTAGGGAAGGGTGGCTGGGGCTGCCACGGAACCAGCCCCAGGTTGTGGCCAGGAAGGGAGGGCCCAGGAGCCTCGGGGGCTGCAGGGGCTCCAAGTCTCAGGGGAGGCCGCAGACCCCTGCCCACGGCCCTCTGTGTGGTGGGGAGGCCAACCTGTCCTCCAGTGCCCACGCTTCCTGAGGACCCTGTCCACAGCCCCCACCTGACCACCCCCCCATCCGGCCCCTGCTCAGGAAGTGGGAGTGAGCGGAAGCAGCTGTGCACGGCCACACAGGACACAGTCTGCCGCTGCCGGGCGGGCACCCAGCCCCTGGACAGCTACAAGCCTGGAGTTGACTGTGCCCCCTGCCCTCCAGGGCACTTCTCCCCAGGCGACAACCAGGCCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCAGCAATAGCTCGGACGCAATCTGTGAGGACAGGGACCCCCCAGCCACGCAGCCCCAGGAGACCCAGGGCCCCCCGGCCAGGCCCATCACTGTCCAGCCCACTGAAGCCTGGCCCAGAACCTCACAGGGACCCTCCACCCGGCCCGTGGAGGTCCCCGGGGGCCGTGCGGTTGCCGCCATCCTGGGCCTGGGCCTGGTGCTGGGGCTGCTGGGCCCCCTGGCCATCCTGCTGGCCCTGTACCTGCTCCGGAGGGACCAGAGGCTGCCCCCCGATGCCCACAAGCCCCCTGGTGAGTGCCTCATGGCCCTGCCGCACTGCTCCTGGCGGGTGAGGCCCACCCACCAATCTCTCCTTTTTTCCTCCCCAGGGGGAGGCAGTTTCCGGACCCCCATCCAAGAGGAGCAGGCCGACGCCCACTCCACCCTGGCCAAGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_011540379.1_71 [gene=TNFRSF4] [db_xref=GeneID:7293] [protein=tumor necrosis factor receptor superfamily member 4 isoform X5] [protein_id=XP_011540379.1] [location=complement(join(1211555..1211832,1211942..1212138,1212638..1212704,1212862..1212931))] [gbkey=CDS]\n",
      "ATGGGCCGTGGGCCGCAGGGACCTGGCCCCACCGGTGCCTCCTCTGGCATCCTCAAGACCGAGCTCCCGGACTGTGCCCCCTGCCCTCCAGGGCACTTCTCCCCAGGCGACAACCAGGCCTGCAAGCCCTGGACCAACTGCACCTTGGCTGGGAAGCACACCCTGCAGCCGGCCAGCAATAGCTCGGACGCAATCTGTGAGGACAGGGACCCCCCAGCCACGCAGCCCCAGGAGACCCAGGGCCCCCCGGCCAGGCCCATCACTGTCCAGCCCACTGAAGCCTGGCCCAGAACCTCACAGGGACCCTCCACCCGGCCCGTGGAGGTCCCCGGGGGCCGTGCGGTTGCCGCCATCCTGGGCCTGGGCCTGGTGCTGGGGCTGCTGGGCCCCCTGGCCATCCTGCTGGCCCTGTACCTGCTCCGGAGGGACCAGAGGCTGCCCCCCGATGCCCACAAGCCCCCTGGTGAGTGCCTCATGGCCCTGCCGCACTGCTCCTGGCGGGTGAGGCCCACCCACCAATCTCTCCTTTTTTCCTCCCCAGGGGGAGGCAGTTTCCGGACCCCCATCCAAGAGGAGCAGGCCGACGCCCACTCCACCCTGGCCAAGATCTGA\n",
      "lcl|NC_000001.11_cds_XP_024303241.1_72 [gene=SDF4] [db_xref=GeneID:51150] [protein=45 kDa calcium-binding protein isoform X1] [protein_id=XP_024303241.1] [location=complement(join(1217512..1217688,1218458..1218927,1223244..1223357,1223832..1223968,1228468..1228793))] [gbkey=CDS]\n",
      "ATGGTCTGGCCCTGGGTGGCGATGGCGTCCAGGTGGGGTCCCCTCATTGGCCTGGCTCCGTGCTGCCTCTGGCTCCTGGGGGCAGTCCTTCTGATGGACGCGTCTGCACGGCCTGCCAACCACTCGTCCACTCGAGAGAGAGTAGCCAACAGGGAGGAGAATGAGATCCTGCCCCCAGACCACCTGAACGGGGTGAAGCTGGAGATGGACGGGCACCTCAATCGCGGCTTCCACCAGGAGGTCTTCCTAGGCAAGGACCTGGGTGGCTTTGATGAGGACGCGGAGCCGCGGCGGAGCCGGAGGAAGCTGATGGTCATCTTTTCCAAGGTGGATGTGAACACTGACCGGAAGATCAGTGCCAAGGAGATGCAGCGCTGGATCATGGAGAAGACGGCCGAGCACTTCCAGGAGGCCATGGAGGAGAGCAAGACACACTTCCGCGCCGTGGACCCTGACGGGGACGGTCACGTGTCTTGGGACGAGTATAAGGTGAAGTTTTTGGCGAGTAAAGGCCATAGCGAGAAGGAGGTTGCCGACGCCATCAGGCTCAACGAGGAACTCAAAGTGGATGAGGAAACACAGGAAGTCCTGGAGAACCTGAAGGACCGCTGGTACCAGGCGGACAGCCCCCCTGCAGACCTGCTGCTGACGGAGGAGGAGTTCCTGTCGTTCCTCCACCCCGAGCACAGCCGGGGAATGCTCAGGTTCATGGTGAAGGAGATCGTCCGGGACCTGGGTGAGGCTGGGTCCAGCCTGGCCGGCACGCCAGGACCCAGGACCGACTGGCAGGGGCCGGGCATCGTCGGGAGGTCGGGGCAGGTCCTGCGGGAGCCCCAGCCTGGGTGTGGGCTGACCCATTCCCGTCTCGCAGACCAGGACGGTGACAAGCAGCTCTCTGTGCCCGAGTTCATCTCCCTGCCCGTGGGCACCGTGGAGAACCAGCAGGGCCAGGACATTGACGACAACTGGGTGAAAGACAGAAAAAAGGAGTTTGAGGAGCTCATTGACTCCAACCACGACGGCATCGTGACCGCCGAGGAGCTGGAGAGCTACATGGACCCCATGAACGAGTACAACGCGCTGAACGAGGCCAAGCAGATGATCGCCGTCGCCGACGAGAACCAGAACCACCACCTGGAGCCCGAGGAGGTGCTCAAGTACAGCGAGTTCTTCACGGGCAGCAAGCTGGTGGACTACGCGCGCAGCGTGCACGAGGAGTTTTGA\n",
      "lcl|NC_000001.11_cds_NP_057260.3_73 [gene=SDF4] [db_xref=CCDS:CCDS30553.1,Ensembl:ENSP00000353094.7,GeneID:51150] [protein=45 kDa calcium-binding protein isoform 2 precursor] [protein_id=NP_057260.3] [location=complement(join(1217512..1217688,1218458..1218633,1218769..1218927,1223244..1223357,1223832..1223968,1228468..1228772))] [gbkey=CDS]\n",
      "ATGGCGTCCAGGTGGGGTCCCCTCATTGGCCTGGCTCCGTGCTGCCTCTGGCTCCTGGGGGCAGTCCTTCTGATGGACGCGTCTGCACGGCCTGCCAACCACTCGTCCACTCGAGAGAGAGTAGCCAACAGGGAGGAGAATGAGATCCTGCCCCCAGACCACCTGAACGGGGTGAAGCTGGAGATGGACGGGCACCTCAATCGCGGCTTCCACCAGGAGGTCTTCCTAGGCAAGGACCTGGGTGGCTTTGATGAGGACGCGGAGCCGCGGCGGAGCCGGAGGAAGCTGATGGTCATCTTTTCCAAGGTGGATGTGAACACTGACCGGAAGATCAGTGCCAAGGAGATGCAGCGCTGGATCATGGAGAAGACGGCCGAGCACTTCCAGGAGGCCATGGAGGAGAGCAAGACACACTTCCGCGCCGTGGACCCTGACGGGGACGGTCACGTGTCTTGGGACGAGTATAAGGTGAAGTTTTTGGCGAGTAAAGGCCATAGCGAGAAGGAGGTTGCCGACGCCATCAGGCTCAACGAGGAACTCAAAGTGGATGAGGAAACACAGGAAGTCCTGGAGAACCTGAAGGACCGCTGGTACCAGGCGGACAGCCCCCCTGCAGACCTGCTGCTGACGGAGGAGGAGTTCCTGTCGTTCCTCCACCCCGAGCACAGCCGGGGAATGCTCAGGTTCATGGTGAAGGAGATCGTCCGGGACCTGGACCAGGACGGTGACAAGCAGCTCTCTGTGCCCGAGTTCATCTCCCTGCCCGTGGGCACCGTGGAGAACCAGCAGGGCCAGGACATTGACGACAACTGGGTGAAAGACAGAAAAAAGGAGTTTGAGGAGCTCATTGACTCCAACCACGACGGCATCGTGACCGCCGAGGAGCTGGAGAGCTACATGGACCCCATGAACGAGTACAACGCGCTGAACGAGGCCAAGCAGATGATCGCCGTCGCCGACGAGAACCAGAACCACCACCTGGAGCCCGAGGAGGTGCTCAAGTACAGCGAGTTCTTCACGGGCAGCAAGCTGGTGGACTACGCGCGCAGCGTGCACGAGGAGTTTTGA\n",
      "lcl|NC_000001.11_cds_NP_057631.2_74 [gene=SDF4] [db_xref=CCDS:CCDS12.1,GeneID:51150] [protein=45 kDa calcium-binding protein isoform 1 precursor] [protein_id=NP_057631.2] [location=complement(join(1217670..1217804,1218458..1218633,1218769..1218927,1223244..1223357,1223832..1223968,1228468..1228772))] [gbkey=CDS]\n",
      "ATGGCGTCCAGGTGGGGTCCCCTCATTGGCCTGGCTCCGTGCTGCCTCTGGCTCCTGGGGGCAGTCCTTCTGATGGACGCGTCTGCACGGCCTGCCAACCACTCGTCCACTCGAGAGAGAGTAGCCAACAGGGAGGAGAATGAGATCCTGCCCCCAGACCACCTGAACGGGGTGAAGCTGGAGATGGACGGGCACCTCAATCGCGGCTTCCACCAGGAGGTCTTCCTAGGCAAGGACCTGGGTGGCTTTGATGAGGACGCGGAGCCGCGGCGGAGCCGGAGGAAGCTGATGGTCATCTTTTCCAAGGTGGATGTGAACACTGACCGGAAGATCAGTGCCAAGGAGATGCAGCGCTGGATCATGGAGAAGACGGCCGAGCACTTCCAGGAGGCCATGGAGGAGAGCAAGACACACTTCCGCGCCGTGGACCCTGACGGGGACGGTCACGTGTCTTGGGACGAGTATAAGGTGAAGTTTTTGGCGAGTAAAGGCCATAGCGAGAAGGAGGTTGCCGACGCCATCAGGCTCAACGAGGAACTCAAAGTGGATGAGGAAACACAGGAAGTCCTGGAGAACCTGAAGGACCGCTGGTACCAGGCGGACAGCCCCCCTGCAGACCTGCTGCTGACGGAGGAGGAGTTCCTGTCGTTCCTCCACCCCGAGCACAGCCGGGGAATGCTCAGGTTCATGGTGAAGGAGATCGTCCGGGACCTGGACCAGGACGGTGACAAGCAGCTCTCTGTGCCCGAGTTCATCTCCCTGCCCGTGGGCACCGTGGAGAACCAGCAGGGCCAGGACATTGACGACAACTGGGTGAAAGACAGAAAAAAGGAGTTTGAGGAGCTCATTGACTCCAACCACGACGGCATCGTGACCGCCGAGGAGCTGGAGAACGTGCCCACACTCCCGCTGCAGCCAATAGGCACCTTAAATAGCCACTTCGTGCGGCTGGCCGCGGAGCTCGGAGGGGGAAAGGCGACGCTGACCTGTGCCCCGCTCGCCCGCAGAGCTACATGGACCCCATGA\n",
      "lcl|NC_000001.11_cds_XP_011539858.1_75 [gene=SDF4] [db_xref=GeneID:51150] [protein=45 kDa calcium-binding protein isoform X2] [protein_id=XP_011539858.1] [location=complement(join(1220699..1220730,1223244..1223357,1223832..1223968,1228468..1228793))] [gbkey=CDS]\n",
      "ATGGTCTGGCCCTGGGTGGCGATGGCGTCCAGGTGGGGTCCCCTCATTGGCCTGGCTCCGTGCTGCCTCTGGCTCCTGGGGGCAGTCCTTCTGATGGACGCGTCTGCACGGCCTGCCAACCACTCGTCCACTCGAGAGAGAGTAGCCAACAGGGAGGAGAATGAGATCCTGCCCCCAGACCACCTGAACGGGGTGAAGCTGGAGATGGACGGGCACCTCAATCGCGGCTTCCACCAGGAGGTCTTCCTAGGCAAGGACCTGGGTGGCTTTGATGAGGACGCGGAGCCGCGGCGGAGCCGGAGGAAGCTGATGGTCATCTTTTCCAAGGTGGATGTGAACACTGACCGGAAGATCAGTGCCAAGGAGATGCAGCGCTGGATCATGGAGAAGACGGCCGAGCACTTCCAGGAGGCCATGGAGGAGAGCAAGACACACTTCCGCGCCGTGGACCCTGACGGGGACGGTCACGTGTCTTGGGACGAGTATAAGGTGAAGTTTTTGGCGAGTAAAGGCCATAGCGAGAAGGAGGTTGCCGACGCCATCAGGCTCAACGAGGAACTCAAAGTGGATGAGGAAAGACATGGCCCACCTGGACCTAGAGCTCTGTGA\n",
      "lcl|NC_000001.11_cds_NP_542172.2_76 [gene=B3GALT6] [db_xref=CCDS:CCDS13.1,Ensembl:ENSP00000368496.2,GeneID:126792] [protein=beta-1,3-galactosyltransferase 6] [protein_id=NP_542172.2] [location=1232279..1233268] [gbkey=CDS]\n",
      "ATGAAGCTGCTGCGGCGGGCGTGGCGGCGGCGGGCGGCGCTAGGCCTGGGCACGCTGGCGCTGTGCGGGGCGGCGCTGCTCTACCTGGCGCGCTGCGCGGCCGAGCCCGGGGACCCCAGGGCGATGTCGGGCCGCAGCCCGCCTCCCCCCGCGCCCGCGCGCGCCGCCGCCTTCCTGGCAGTGCTGGTGGCCAGCGCGCCCCGCGCCGCCGAGCGCCGCAGCGTGATCCGCAGCACGTGGCTTGCGCGGCGCGGGGCCCCGGGCGACGTGTGGGCGCGCTTTGCCGTGGGCACGGCCGGCCTGGGCGCCGAGGAGCGGCGCGCCCTGGAGCGGGAGCAGGCGCGGCACGGGGACCTGCTGCTGCTGCCCGCGCTGCGCGACGCCTACGAAAACCTCACGGCCAAGGTGCTGGCCATGCTGGCCTGGCTGGACGAGCACGTGGCCTTCGAGTTCGTGCTCAAGGCGGACGACGACTCCTTCGCGCGGCTGGACGCGCTGCTGGCCGAGCTGCGCGCCCGCGAGCCCGCGCGCCGCCGCCGCCTCTACTGGGGCTTCTTCTCGGGCCGCGGCCGCGTCAAGCCGGGGGGGCGCTGGCGCGAGGCCGCCTGGCAACTCTGCGACTACTACCTGCCCTACGCGCTGGGCGGCGGCTACGTGCTCTCGGCCGACCTGGTGCACTACCTGCGCCTCAGCCGCGACTACCTGCGCGCCTGGCACAGCGAGGACGTGTCTCTGGGCGCCTGGCTGGCGCCGGTGGACGTCCAGCGGGAGCACGACCCGCGCTTCGACACCGAATACCGGTCCCGCGGCTGCAGCAACCAGTACCTGGTGACGCACAAGCAGAGCCTGGAGGACATGCTGGAGAAGCACGCGACGCTGGCGCGCGAGGGCCGCCTGTGCAAGCGCGAGGTGCAGCTGCGCCTGTCCTACGTGTACGACTGGTCCGCGCCGCCCTCGCAGTGCTGCCAGAGAAGGGAGGGCATCCCCTGA\n",
      "lcl|NC_000001.11_cds_XP_011539738.1_77 [gene=C1QTNF12] [db_xref=GeneID:388581] [protein=adipolin isoform X3] [protein_id=XP_011539738.1] [location=complement(join(1242490..1242646,1242835..1242913,1243062..1243152,1243448..1243552,1243954..1244105,1244191..1244275,1244381..1244497,1246514..1246690))] [gbkey=CDS]\n",
      "ATGCGGCGCTGGGCCTGGGCCGCGGTCGTGGTCCTCCTCGGGCCGCAGCTCGTGCTCCTCGGGGGCGTCGGGGCCCGGCGGGAGGCACAGAGGACGCAGCAGCCTGGCCAGCGCGCAGATCCCCCCAACGCCACCGCCAGCGCGTCCTCCCGCGAGGGGCTGCCCGAGGCCCCCAAGCCATCCCAGGCCTCAGGACCTGAGTTCTCCGACGCCCACATGACATGGCTGAACTTTGTCCGGCGGCCGGACGACGGCGCCTTAAGGAAGCGGTGCGGAAGCAGGGACAAGAAGCCGCGGGATCTCTTCGGTCCCCCAGGACCTCCAGGTGCAGAAGTGACCGCGGAGACTCTGCTTCACGAGTTTCAGGAGCTGCTGAAAGAGGCCACGGAGCGCCGGTTCTCAGGGCTTCTGGACCCGCTGCTGCCCCAGGGGGCGGGCCTGCGGCTGGTGGGCGAGGCCTTTCACTGCCGGCTGCAGGGTCCCCGCCGGGTGGACAAGCGGACGCTGGTGGAGCTGCATGGTTTCCAGGCTCCTGCTGCCCAAGGTGCCTTCCTGCGAGGCTCCGGTCTGAGCCTGGCCTCGGGTCGGTTCACGGCCCCCGTGTCCGGCATCTTCCAGTTCTCTGCCAGTCTGCACACCACAGTGAGCTGCAGGGCAAGGCCCGGCTGCGGGCCCGGGACGTGGTGTGTGTTCTCATCTGTATTGAGTCCCTGTGCCAGCGCCACACGTGCCTGGAGGCCGTCTCAGGCCTGGAGAGCAACAGCAGGGTCTTCACGCTACAGGTGCAGGGGCTGCTGCAGCTGCAGGCTGGACAGTACGCTTCTGTGTTTGTGGACAATGGCTCCGGGGCCGTCCTCACCATCCAGGCGGGCTCCAGCTTCTCCGGGCTGCTCCTGGGCACGTGAGGGCGCCCAGGGGGGCTGGCGAGGAGCTGCCGCCGGATCCCGGGGACCCTCCTACTGA\n",
      "lcl|NC_000001.11_cds_XP_011539737.1_78 [gene=C1QTNF12] [db_xref=GeneID:388581] [protein=adipolin isoform X2] [protein_id=XP_011539737.1] [location=complement(join(1242490..1242646,1242835..1242913,1243062..1243166,1243444..1243552,1243954..1244105,1244191..1244275,1244381..1244497,1246514..1246690))] [gbkey=CDS]\n",
      "ATGCGGCGCTGGGCCTGGGCCGCGGTCGTGGTCCTCCTCGGGCCGCAGCTCGTGCTCCTCGGGGGCGTCGGGGCCCGGCGGGAGGCACAGAGGACGCAGCAGCCTGGCCAGCGCGCAGATCCCCCCAACGCCACCGCCAGCGCGTCCTCCCGCGAGGGGCTGCCCGAGGCCCCCAAGCCATCCCAGGCCTCAGGACCTGAGTTCTCCGACGCCCACATGACATGGCTGAACTTTGTCCGGCGGCCGGACGACGGCGCCTTAAGGAAGCGGTGCGGAAGCAGGGACAAGAAGCCGCGGGATCTCTTCGGTCCCCCAGGACCTCCAGGTGCAGAAGTGACCGCGGAGACTCTGCTTCACGAGTTTCAGGAGCTGCTGAAAGAGGCCACGGAGCGCCGGTTCTCAGGGCTTCTGGACCCGCTGCTGCCCCAGGGGGCGGGCCTGCGGCTGGTGGGCGAGGCCTTTCACTGCCGGCTGCAGGGTCCCCGCCGGGTGGACAAGCGGACGCTGGTGGAGCTGCATGGTTTCCAGGCTCCTGCTGCCCAAGGTGCCTTCCTGCGAGGCTCCGGTCTGAGCCTGGCCTCGGGTCGGTTCACGGCCCCCGTGTCCGGCATCTTCCAGTTCTCTGCCAGTCTGCACGTGGGGCTCTCTCCGCAGACCACAGTGAGCTGCAGGGCAAGGCCCGGCTGCGGGCCCGGGACGTGGTGTGTGTTCTCATCTGTATTGAGTCCCTGTGCCAGCGCCACACGTGCCTGGAGGCCGTCTCAGGCCTGGAGAGCAACAGCAGGGTCTTCACGCTACAGGTGCAGGGGCTGCTGCAGCTGCAGGCTGGACAGTACGCTTCTGTGTTTGTGGACAATGGCTCCGGGGCCGTCCTCACCATCCAGGCGGGCTCCAGCTTCTCCGGGCTGCTCCTGGGCACGTGAGGGCGCCCAGGGGGGCTGGCGAGGAGCTGCCGCCGGATCCCGGGGACCCTCCTACTGA\n",
      "lcl|NC_000001.11_cds_XP_011539739.1_79 [gene=C1QTNF12] [db_xref=GeneID:388581] [protein=adipolin isoform X4] [protein_id=XP_011539739.1] [location=complement(join(1242490..1242646,1242835..1242913,1243062..1243166,1243444..1243552,1243954..1244105,1244191..1244275,1244381..1244458))] [gbkey=CDS]\n",
      "ATGACATGGCTGAACTTTGTCCGGCGGCCGGACGACGGCGCCTTAAGGAAGCGGTGCGGAAGCAGGGACAAGAAGCCGCGGGATCTCTTCGGTCCCCCAGGACCTCCAGGTGCAGAAGTGACCGCGGAGACTCTGCTTCACGAGTTTCAGGAGCTGCTGAAAGAGGCCACGGAGCGCCGGTTCTCAGGGCTTCTGGACCCGCTGCTGCCCCAGGGGGCGGGCCTGCGGCTGGTGGGCGAGGCCTTTCACTGCCGGCTGCAGGGTCCCCGCCGGGTGGACAAGCGGACGCTGGTGGAGCTGCATGGTTTCCAGGCTCCTGCTGCCCAAGGTGCCTTCCTGCGAGGCTCCGGTCTGAGCCTGGCCTCGGGTCGGTTCACGGCCCCCGTGTCCGGCATCTTCCAGTTCTCTGCCAGTCTGCACGTGGGGCTCTCTCCGCAGACCACAGTGAGCTGCAGGGCAAGGCCCGGCTGCGGGCCCGGGACGTGGTGTGTGTTCTCATCTGTATTGAGTCCCTGTGCCAGCGCCACACGTGCCTGGAGGCCGTCTCAGGCCTGGAGAGCAACAGCAGGGTCTTCACGCTACAGGTGCAGGGGCTGCTGCAGCTGCAGGCTGGACAGTACGCTTCTGTGTTTGTGGACAATGGCTCCGGGGCCGTCCTCACCATCCAGGCGGGCTCCAGCTTCTCCGGGCTGCTCCTGGGCACGTGAGGGCGCCCAGGGGGGCTGGCGAGGAGCTGCCGCCGGATCCCGGGGACCCTCCTACTGA\n",
      "lcl|NC_000001.11_cds_NP_001014980.1_80 [gene=C1QTNF12] [db_xref=CCDS:CCDS30554.1,Ensembl:ENSP00000329137.2,GeneID:388581] [protein=adipolin precursor] [protein_id=NP_001014980.1] [location=complement(join(1242548..1242646,1242835..1242913,1243062..1243152,1243444..1243552,1243954..1244105,1244191..1244275,1244381..1244497,1246514..1246690))] [gbkey=CDS]\n",
      "ATGCGGCGCTGGGCCTGGGCCGCGGTCGTGGTCCTCCTCGGGCCGCAGCTCGTGCTCCTCGGGGGCGTCGGGGCCCGGCGGGAGGCACAGAGGACGCAGCAGCCTGGCCAGCGCGCAGATCCCCCCAACGCCACCGCCAGCGCGTCCTCCCGCGAGGGGCTGCCCGAGGCCCCCAAGCCATCCCAGGCCTCAGGACCTGAGTTCTCCGACGCCCACATGACATGGCTGAACTTTGTCCGGCGGCCGGACGACGGCGCCTTAAGGAAGCGGTGCGGAAGCAGGGACAAGAAGCCGCGGGATCTCTTCGGTCCCCCAGGACCTCCAGGTGCAGAAGTGACCGCGGAGACTCTGCTTCACGAGTTTCAGGAGCTGCTGAAAGAGGCCACGGAGCGCCGGTTCTCAGGGCTTCTGGACCCGCTGCTGCCCCAGGGGGCGGGCCTGCGGCTGGTGGGCGAGGCCTTTCACTGCCGGCTGCAGGGTCCCCGCCGGGTGGACAAGCGGACGCTGGTGGAGCTGCATGGTTTCCAGGCTCCTGCTGCCCAAGGTGCCTTCCTGCGAGGCTCCGGTCTGAGCCTGGCCTCGGGTCGGTTCACGGCCCCCGTGTCCGGCATCTTCCAGTTCTCTGCCAGTCTGCACGTGGACCACAGTGAGCTGCAGGGCAAGGCCCGGCTGCGGGCCCGGGACGTGGTGTGTGTTCTCATCTGTATTGAGTCCCTGTGCCAGCGCCACACGTGCCTGGAGGCCGTCTCAGGCCTGGAGAGCAACAGCAGGGTCTTCACGCTACAGGTGCAGGGGCTGCTGCAGCTGCAGGCTGGACAGTACGCTTCTGTGTTTGTGGACAATGGCTCCGGGGCCGTCCTCACCATCCAGGCGGGCTCCAGCTTCTCCGGGCTGCTCCTGGGCACGTGA\n",
      "lcl|NC_000001.11_cds_XP_024302675.1_81 [gene=C1QTNF12] [db_xref=GeneID:388581] [protein=adipolin isoform X1] [protein_id=XP_024302675.1] [location=complement(join(1242548..1242646,1242835..1242913,1243062..1243152,1243444..1243552,1243954..1244105,1244191..1244497,1246514..1246690))] [gbkey=CDS]\n",
      "ATGCGGCGCTGGGCCTGGGCCGCGGTCGTGGTCCTCCTCGGGCCGCAGCTCGTGCTCCTCGGGGGCGTCGGGGCCCGGCGGGAGGCACAGAGGACGCAGCAGCCTGGCCAGCGCGCAGATCCCCCCAACGCCACCGCCAGCGCGTCCTCCCGCGAGGGGCTGCCCGAGGCCCCCAAGCCATCCCAGGCCTCAGGACCTGAGTTCTCCGACGCCCACATGACATGGCTGAACTTTGTCCGGCGGCCGGACGACGGCGCCTTAAGGAAGCGGTGCGGAAGCAGGGACAAGAAGCCGGTGAGCCCCGCCCGGGCTGCTGCAGGGTCTGAGCCCCGGACAGGGTGTGGTGGTAGCTCCCACCGGGTCCCACTGGGCCCCTCACCTGCTTCTCTCTCCCCCCAGCGGGATCTCTTCGGTCCCCCAGGACCTCCAGGTGCAGAAGTGACCGCGGAGACTCTGCTTCACGAGTTTCAGGAGCTGCTGAAAGAGGCCACGGAGCGCCGGTTCTCAGGGCTTCTGGACCCGCTGCTGCCCCAGGGGGCGGGCCTGCGGCTGGTGGGCGAGGCCTTTCACTGCCGGCTGCAGGGTCCCCGCCGGGTGGACAAGCGGACGCTGGTGGAGCTGCATGGTTTCCAGGCTCCTGCTGCCCAAGGTGCCTTCCTGCGAGGCTCCGGTCTGAGCCTGGCCTCGGGTCGGTTCACGGCCCCCGTGTCCGGCATCTTCCAGTTCTCTGCCAGTCTGCACGTGGACCACAGTGAGCTGCAGGGCAAGGCCCGGCTGCGGGCCCGGGACGTGGTGTGTGTTCTCATCTGTATTGAGTCCCTGTGCCAGCGCCACACGTGCCTGGAGGCCGTCTCAGGCCTGGAGAGCAACAGCAGGGTCTTCACGCTACAGGTGCAGGGGCTGCTGCAGCTGCAGGCTGGACAGTACGCTTCTGTGTTTGTGGACAATGGCTCCGGGGCCGTCCTCACCATCCAGGCGGGCTCCAGCTTCTCCGGGCTGCTCCTGGGCACGTGA\n",
      "lcl|NC_000001.11_cds_NP_477515.2_82 [gene=UBE2J2] [db_xref=CCDS:CCDS14.1,Ensembl:ENSP00000305826.7,GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform 2] [protein_id=NP_477515.2] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1267862..1267992))] [gbkey=CDS]\n",
      "ATGAGCAGCACCAGCAGTAAGAGGGCTCCGACCACGGCAACCCAGAGGCTGAAGCAGGACTACCTTCGCATTAAGAAAGACCCGGTGCCTTACATCTGTGCCGAGCCCCTCCCTTCGAATATTCTCGAGTGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_005244775.1_83 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X2] [protein_id=XP_005244775.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1267862..1267992))] [gbkey=CDS]\n",
      "ATGAGCAGCACCAGCAGTAAGAGGGCTCCGACCACGGCAACCCAGAGGCTGAAGCAGGACTACCTTCGCATTAAGAAAGACCCGGTGCCTTACATCTGTGCCGAGCCCCTCCCTTCGAATATTCTCGAGTGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_005244776.1_84 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X2] [protein_id=XP_005244776.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1267862..1267992))] [gbkey=CDS]\n",
      "ATGAGCAGCACCAGCAGTAAGAGGGCTCCGACCACGGCAACCCAGAGGCTGAAGCAGGACTACCTTCGCATTAAGAAAGACCCGGTGCCTTACATCTGTGCCGAGCCCCTCCCTTCGAATATTCTCGAGTGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_006710396.1_85 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X2] [protein_id=XP_006710396.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1267862..1267992))] [gbkey=CDS]\n",
      "ATGAGCAGCACCAGCAGTAAGAGGGCTCCGACCACGGCAACCCAGAGGCTGAAGCAGGACTACCTTCGCATTAAGAAAGACCCGGTGCCTTACATCTGTGCCGAGCCCCTCCCTTCGAATATTCTCGAGTGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_011538916.1_86 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X2] [protein_id=XP_011538916.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1267862..1267992))] [gbkey=CDS]\n",
      "ATGAGCAGCACCAGCAGTAAGAGGGCTCCGACCACGGCAACCCAGAGGCTGAAGCAGGACTACCTTCGCATTAAGAAAGACCCGGTGCCTTACATCTGTGCCGAGCCCCTCCCTTCGAATATTCTCGAGTGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_NP_919296.1_87 [gene=UBE2J2] [db_xref=CCDS:CCDS15.1,GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform 1] [protein_id=NP_919296.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1264783..1264830,1267862..1267992))] [gbkey=CDS]\n",
      "ATGAGCAGCACCAGCAGTAAGAGGGCTCCGACCACGGCAACCCAGAGGCTGAAGCAGGACTACCTTCGCATTAAGAAAGACCCGGTGCCTTACATCTGTGCCGAGCCCCTCCCTTCGAATATTCTCGAGTGGTTCAAGCGATTCTCCTGGCTCAGCCTCCTGAGTAGCTGGGATTACAGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_024308790.1_88 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X1] [protein_id=XP_024308790.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1266098..1266290,1267733..1267769))] [gbkey=CDS]\n",
      "ATGGCATTGGCAAGGTGCTCCTGCACCCTCCCCCGGGAGAAAAGATATTTCAGTGAGTTGAAAGGAAATGTGTTTCGGCTTGGTCAGGGGTCCACCTTCTCTGGCTCACAGAGGAGGCCCAGCCCAGGCAGGCGGAGGATACCCAGGGTGAGGCGGAGCCCCTTGGCCACCAGAGTGCTCTCTGCCCCCAGTGTTGAAAATCACATGTGGCCCCAGGACATCGCTGGCAGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_011538915.1_89 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X3] [protein_id=XP_011538915.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263386,1266098..1266123))] [gbkey=CDS]\n",
      "ATGTGGCCCCAGGACATCGCTGGCAGGCACTATGTCGTCCGAGGCCCAGAGATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_016855728.1_90 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X5] [protein_id=XP_016855728.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263361))] [gbkey=CDS]\n",
      "ATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_NP_919439.1_91 [gene=UBE2J2] [db_xref=CCDS:CCDS16.1,GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform 3] [protein_id=NP_919439.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263361))] [gbkey=CDS]\n",
      "ATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_NP_919440.1_92 [gene=UBE2J2] [db_xref=CCDS:CCDS16.1,GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform 3] [protein_id=NP_919440.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1263346..1263361))] [gbkey=CDS]\n",
      "ATGACCCCTTATGAAGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_016855727.1_93 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X4] [protein_id=XP_016855727.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1262269..1262284))] [gbkey=CDS]\n",
      "ATGCCAGCAGGCCGTGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_011538918.1_94 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X4] [protein_id=XP_011538918.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1262269..1262284))] [gbkey=CDS]\n",
      "ATGCCAGCAGGCCGTGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_XP_011538919.1_95 [gene=UBE2J2] [db_xref=GeneID:118424] [protein=ubiquitin-conjugating enzyme E2 J2 isoform X4] [protein_id=XP_011538919.1] [location=complement(join(1255203..1255487,1256045..1256125,1256992..1257130,1257208..1257310,1262269..1262284))] [gbkey=CDS]\n",
      "ATGCCAGCAGGCCGTGGTGGCTATTATCATGGAAAACTAATTTTTCCCAGAGAATTTCCTTTCAAACCTCCCAGTATCTATATGATCACTCCCAACGGGAGGTTTAAGTGCAACACCAGGCTGTGTCTTTCTATCACGGATTTCCACCCGGACACGTGGAACCCGGCCTGGTCTGTCTCCACCATCCTGACTGGGCTCCTGAGCTTCATGGTGGAGAAGGGCCCCACCCTGGGCAGTATAGAGACGTCGGACTTCACGAAAAGACAACTGGCAGTGCAGAGTTTAGCATTTAATTTGAAAGATAAAGTCTTTTGTGAATTATTTCCTGAAGTCGTGGAGGAGATTAAACAAAAACAGAAAGCACAAGACGAACTCAGTAGCAGACCCCAGACTCTCCCCTTGCCAGACGTGGTTCCAGACGGGGAGACGCACCTCGTCCAGAACGGGATTCAGCTGCTCAACGGGCATGCGCCGGGGGCCGTCCCAAACCTCGCAGGGCTCCAGCAGGCCAACCGGCACCACGGACTCCTGGGTGGCGCCCTGGCGAACTTGTTTGTGATAGTTGGGTTTGCAGCCTTTGCTTACACGGTCAAGTACGTGCTGAGGAGCATCGCGCAGGAGTGA\n",
      "lcl|NC_000001.11_cds_NP_001123885.2_96 [gene=SCNN1D] [db_xref=CCDS:CCDS44037.2,Ensembl:ENSP00000368411.5,GeneID:6339] [protein=amiloride-sensitive sodium channel subunit delta] [protein_id=NP_001123885.2] [location=join(1280662..1280666,1281226..1281297,1281411..1281610,1282242..1282315,1283978..1284090,1285571..1285664,1285926..1286278,1286768..1286975,1287109..1287299,1287508..1287596,1287673..1287836,1287939..1288037,1290271..1290388,1290477..1290555,1290637..1290694,1290895..1290953,1291065..1291140,1291254..1291610)] [gbkey=CDS]\n",
      "ATGAGGGCAGTGCTGTCACAGAAGACAACACCGCTCCCTCGTTACCTGTGGCCCGGCCACCTCAGCGGCCCAAGGAGGCTCACCTGGTCATGGTGCAGTGACCACAGGACCCCCACATGCCGGGAGCTGGGTTCGCCCCACCCCACCCCCTGCACCGGGCCAGCGAGGGGATGGCCCAGAAGAGGGGGAGGACCATGTGGATTCACCAGTGCTGGACATGTGCTCTGTGGCTACCCCCTCTGCCTACTCTCTGGCCCGATACAGGGGTGTGGGACAGGCCTGGGTGACTCCAGCATGGCTTTCCTCTCCAGGACGTCACCGGTGGCAGCTGCTTCCTTCCAGAGCCGGCAGGAGGCCAGAGGCTCCATCCTGCTTCAGAGCTGCCAGCTGCCCCCGCAATGGCTGAGCACCGAAGCATGGACGGGAGAATGGAAGCAGCCACACGGGGGGGCTCTCACCTCCAGATCGCCTGGGCCTGTGGCTCCCCAGAGGCCCTGCCACCTGAAGGGATGGCAGCACAGACCCACTCAGCACAACGCTGCCTGCAAACAGGGCCAGGCTGCAGCCCAGACGCCCCCCAGGCCGGGGCCACCATCAGCACCACCACCACCACCCAAGGAGGGGCACCAGGAGGGGCTGGTGGAGCTGCCCGCCTCGTTCCGGGAGCTGCTCACCTTCTTCTGCACCAATGCCACCATCCACGGCGCCATCCGCCTGGTCTGCTCCCGCGGGAACCGCCTCAAGACGACGTCCTGGGGGCTGCTGTCCCTGGGAGCCCTGGTCGCGCTCTGCTGGCAGCTGGGGCTCCTCTTTGAGCGTCACTGGCACCGCCCGGTCCTCATGGCCGTCTCTGTGCACTCGGAGCGCAAGCTGCTCCCGCTGGTCACCCTGTGTGACGGGAACCCACGTCGGCCGAGTCCGGTCCTCCGCCATCTGGAGCTGCTGGACGAGTTTGCCAGGGAGAACATTGACTCCCTGTACAACGTCAACCTCAGCAAAGGCAGAGCCGCCCTCTCCGCCACTGTCCCCCGCCACGAGCCCCCCTTCCACCTGGACCGGGAGATCCGTCTGCAGAGGCTGAGCCACTCGGGCAGCCGGGTCAGAGTGGGGTTCAGACTGTGCAACAGCACGGGCGGCGACTGCTTTTACCGAGGCTACACGTCAGGCGTGGCGGCTGTCCAGGACTGGTACCACTTCCACTATGTGGATATCCTGGCCCTGCTGCCCGCGGCATGGGAGGACAGCCACGGGAGCCAGGACGGCCACTTCGTCCTCTCCTGCAGTTACGATGGCCTGGACTGCCAGGCCCGACAGTTCCGGACCTTCCACCACCCCACCTACGGCAGCTGCTACACGGTCGATGGCGTCTGGACAGCTCAGCGCCCCGGCATCACCCACGGAGTCGGCCTGGTCCTCAGGGTTGAGCAGCAGCCTCACCTCCCTCTGCTGTCCACGCTGGCCGGCATCAGGGTCATGGTTCACGGCCGTAACCACACGCCCTTCCTGGGGCACCACAGCTTCAGCGTCCGGCCAGGGACGGAGGCCACCATCAGCATCCGAGAGGACGAGGTGCACCGGCTCGGGAGCCCCTACGGCCACTGCACCGCCGGCGGGGAAGGCGTGGAGGTGGAGCTGCTACACAACACCTCCTACACCAGGCAGGCCTGCCTGGTGTCCTGCTTCCAGCAGCTGATGGTGGAGACCTGCTCCTGTGGCTACTACCTCCACCCTCTGCCGGCGGGGGCTGAGTACTGCAGCTCTGCCCGGCACCCTGCCTGGGGACACTGCTTCTACCGCCTCTACCAGGACCTGGAGACCCACCGGCTCCCCTGTACCTCCCGCTGCCCCAGGCCCTGCAGGGAGTCTGCATTCAAGCTCTCCACTGGGACCTCCAGGTGGCCTTCCGCCAAGTCAGCTGGATGGACTCTGGCCACGCTAGGTGAACAGGGGCTGCCGCATCAGAGCCACAGACAGAGGAGCAGCCTGGCCAAAATCAACATCGTCTACCAGGAGCTCAACTACCGCTCAGTGGAGGAGGCGCCCGTGTACTCGGTGCCGCAGCTGCTCTCGGCCATGGGCAGCCTCTGCAGCCTGTGGTTTGGGGCCTCCGTCCTCTCCCTCCTGGAGCTCCTGGAGCTGCTGCTCGATGCTTCTGCCCTCACCCTGGTGCTAGGCGGCCGCCGGCTCCGCAGGGCGTGGTTCTCCTGGCCCAGAGCCAGCCCTGCCTCAGGGGCGTCCAGCATCAAGCCAGAGGCCAGTCAGATGCCCCCGCCTGCAGGCGGCACGTCAGATGACCCGGAGCCCAGCGGGCCTCATCTCCCACGGGTGATGCTTCCAGGGGTTCTGGCGGGAGTCTCAGCCGAAGAGAGCTGGGCTGGGCCCCAGCCCCTTGAGACTCTGGACACCTGA\n",
      "lcl|NC_000001.11_cds_XP_005244772.1_97 [gene=ACAP3] [db_xref=GeneID:116983] [protein=arf-GAP with coiled-coil, ANK repeat and PH domain-containing protein 3 isoform X6] [protein_id=XP_005244772.1] [location=complement(join(1293564..1293708,1293823..1293933,1294090..1294199,1294402..1294628,1295447..1295554,1295736..1295938,1296015..1296109,1296211..1296280,1296425..1296633,1297822..1297933,1298013..1298113,1298370..1298421,1298567..1298679,1299345..1299356,1299831..1299905,1299973..1300068,1300158..1300202,1300509..1300692,1301988..1302046,1302922..1302975,1303162..1303281,1304086..1304143,1307769..1307815))] [gbkey=CDS]\n",
      "ATGACCGTGGAGTTCGAGGAGTGCGTCAAGGACTCCCCGCGCTTCAGGGCGACCATTGACGAGGTGGAGACGGACGTGGTGGAGATTGAGGCCAAACTGGACAAGCTGGTGAAGCTGTGCAGTGGCATGGTGGAAGCCGGTAAGGCCTACGTCAGCACCAGCAGGCTTTTCGTGAGCGGCGTCCGCGACCTGTCCCAGCAGTGCCAGGGCGACACCGTCATCTCGGAATGTCTGCAGAGGTTCGCTGACAGCCTACAGGAGGTGGTGAACTACCACATGATCCTGTTTGACCAGGCCCAGAGGTCCGTGCGGCAGCAGCTCCAGAGCTTTGTCAAAGAGGATGTGCGGAAGTTCAAGGAGACAAAGAAGCAGTTTGACAAGGTGCGGGAGGACCTGGAGCTGTCCCTGGTGAGGAACGCCCAGGCCCCGAGGCACCGGCCCCACGAGGTGGAGGAAGCCACCGGGGCCCTCACCCTCACCAGGAAGTGCTTCCGCCACCTGGCACTGGACTATGTGCTCCAGATCAATGTTCTGCAGGCCAAGAAGAAGTTTGAGATCCTGGACTCTATGCTGTCCTTCATGCACGCCCAGTCCAGCTTCTTCCAGCAGGGCTACAGCCTCCTGCACCAGCTGGACCCCTACATGAAGAAGCTGGCAGCCGAGCTGGACCAGCTGGTGATCGACTCTGCGGTGGAAAAGCGTGAGATGGAGCGAAAGCACGCCGCCATCCAGCAGCGGACGCTGCTGCAGGACTTCTCCTACGATGAGTCCAAAGTGGAGTTTGACGTGGACGCGCCCAGTGGGGTGGTGATGGAGGGCTACCTCTTCAAGAGGGCCAGCAACGCTTTCAAGACATGGAACCGGCGCTGGTTCTCCATTCAGAACAGCCAGCTGGTCTACCAGAAGAAGCTCAAGGATGCCCTCACCGTGGTGGTGGATGACCTCCGCCTGTGCTCTGTGAAGCCGTGTGAGGACATCGAGCGGAGGTTCTGCTTCGAGGTGCTGTCACCCACCAAGAGCTGCATGCTGCAGGCTGACTCCGAGAAGCTGCGGCAAGCCTGGGTCCAGGCTGTGCAGGCCAGCATCGCCTCCGCCTACCGCGAGAGCCCTGACAGTTGCTATAGCGAGAGGCTGGACCGCACAGCATCCCCGTCCACGAGCAGCATCGACTCCGCCACCGACACTCGGGAGCGTGGCGTGAAGGGCGAGAGTGTGCTGCAGCGTGTGCAGAGTGTGGCCGGCAACAGCCAGTGCGGCGACTGCGGCCAGCCGGACCCCCGCTGGGCCAGCATCAACCTGGGCGTGCTGCTCTGCATTGAGTGCTCCGGCATCCACAGGAGCCTGGGTGTCCACTGCTCCAAGGTGCGGTCCCTGACGCTGGACTCGTGGGAGCCTGAGCTGCTAAAGCTGATGTGTGAGCTTGGAAACAGCGCTGTGAATCAGATCTATGAGGCCCAGTGTGAGGGTGCAGGCAGCAGGAAACCCACAGCCAGCAGCTCCCGGCAGGACAAGGAGGCCTGGATCAAGGACAAATACGTGGAAAAGAAGTTTCTGCGGAAGGCGCCCATGGCACCAGCCCTGGAGGCCCCAAGACGCTGGAGGGTGCAGAAGTGCCTGCGGCCCCACAGCTCTCCCCGCGCTCCCACTGCCCGCCGCAAGGTCCGGCTTGAGCCCGTTCTGCCCTGTGTGGCCGCTCTGTCCTCAGTGGGCACCCTGGATCGTAAGTTCCGCCGAGACTCCCTCTTCTGTCCCGACGAGCTGGACTCGCTCTTCTCCTACTTCGACGCAGGGGCCGCAGGGGCTGGCCCTCGCAAGGGTGCAGAGTCGGAGGAGTCCAGCGGTGAGGCAGACGGGGACACTGAGGCCGAGGCCTGGGGCCTGGCGGACGTGCGCGAGCTGCACCCGGGGCTCTTGGCGCACCGCGCAGCGCGTGCCCGCGACCTTCCTGCGCTGGCGGCGGCGCTGGCCCACGGGGCCGAGGTCAACTGGGCGGACGCGGAGGATGAGGGCAAGACGCCGCTGGTGCAGGCCGTGCTAGGGGGCTCCTTGATCGTCTGTGAGTTCCTGCTGCAAAACGGAGCGGACGTGAACCAAAGAGACAGCCGGGGCCGGGCGCCCCTGCACCACGCCACGCTGCTGGGCCGCACCGGCCAGGTTTGCCTGTTCCTGAAGCGGGGCGCGGACCAGCACGCCCTGGACCAAGAGCAGCGGGACCCGTTGGCCATCGCAGTGCAGGCGGCCAACGCTGACATCGTGACACTGCTCCGTCTGGCGCGCATGGCGGAGGAAATGCGCGAGGCCGAGGCTGCCCCTGGTCCCCCGGGCGCCCTGGCGGGCAGCCCCACGGAGCTCCAGTTCCGCAGGTGTATCCAGGAGTTCATCAGCCTCCACCTGGAAGAGAGCTAG\n",
      "lcl|NC_000001.11_cds_NP_085152.2_98 [gene=ACAP3] [db_xref=CCDS:CCDS19.2,Ensembl:ENSP00000346733.5,GeneID:116983] [protein=arf-GAP with coiled-coil, ANK repeat and PH domain-containing protein 3] [protein_id=NP_085152.2] [location=complement(join(1293564..1293708,1293823..1293933,1294090..1294199,1294402..1294628,1294718..1294816,1295447..1295554,1295736..1295938,1296015..1296109,1296211..1296280,1296425..1296633,1297822..1297933,1298013..1298113,1298370..1298421,1298567..1298679,1299345..1299356,1299831..1299905,1299973..1300068,1300158..1300202,1300509..1300692,1301988..1302046,1302922..1302975,1303162..1303281,1304086..1304143,1307769..1307815))] [gbkey=CDS]\n",
      "ATGACCGTGGAGTTCGAGGAGTGCGTCAAGGACTCCCCGCGCTTCAGGGCGACCATTGACGAGGTGGAGACGGACGTGGTGGAGATTGAGGCCAAACTGGACAAGCTGGTGAAGCTGTGCAGTGGCATGGTGGAAGCCGGTAAGGCCTACGTCAGCACCAGCAGGCTTTTCGTGAGCGGCGTCCGCGACCTGTCCCAGCAGTGCCAGGGCGACACCGTCATCTCGGAATGTCTGCAGAGGTTCGCTGACAGCCTACAGGAGGTGGTGAACTACCACATGATCCTGTTTGACCAGGCCCAGAGGTCCGTGCGGCAGCAGCTCCAGAGCTTTGTCAAAGAGGATGTGCGGAAGTTCAAGGAGACAAAGAAGCAGTTTGACAAGGTGCGGGAGGACCTGGAGCTGTCCCTGGTGAGGAACGCCCAGGCCCCGAGGCACCGGCCCCACGAGGTGGAGGAAGCCACCGGGGCCCTCACCCTCACCAGGAAGTGCTTCCGCCACCTGGCACTGGACTATGTGCTCCAGATCAATGTTCTGCAGGCCAAGAAGAAGTTTGAGATCCTGGACTCTATGCTGTCCTTCATGCACGCCCAGTCCAGCTTCTTCCAGCAGGGCTACAGCCTCCTGCACCAGCTGGACCCCTACATGAAGAAGCTGGCAGCCGAGCTGGACCAGCTGGTGATCGACTCTGCGGTGGAAAAGCGTGAGATGGAGCGAAAGCACGCCGCCATCCAGCAGCGGACGCTGCTGCAGGACTTCTCCTACGATGAGTCCAAAGTGGAGTTTGACGTGGACGCGCCCAGTGGGGTGGTGATGGAGGGCTACCTCTTCAAGAGGGCCAGCAACGCTTTCAAGACATGGAACCGGCGCTGGTTCTCCATTCAGAACAGCCAGCTGGTCTACCAGAAGAAGCTCAAGGATGCCCTCACCGTGGTGGTGGATGACCTCCGCCTGTGCTCTGTGAAGCCGTGTGAGGACATCGAGCGGAGGTTCTGCTTCGAGGTGCTGTCACCCACCAAGAGCTGCATGCTGCAGGCTGACTCCGAGAAGCTGCGGCAAGCCTGGGTCCAGGCTGTGCAGGCCAGCATCGCCTCCGCCTACCGCGAGAGCCCTGACAGTTGCTATAGCGAGAGGCTGGACCGCACAGCATCCCCGTCCACGAGCAGCATCGACTCCGCCACCGACACTCGGGAGCGTGGCGTGAAGGGCGAGAGTGTGCTGCAGCGTGTGCAGAGTGTGGCCGGCAACAGCCAGTGCGGCGACTGCGGCCAGCCGGACCCCCGCTGGGCCAGCATCAACCTGGGCGTGCTGCTCTGCATTGAGTGCTCCGGCATCCACAGGAGCCTGGGTGTCCACTGCTCCAAGGTGCGGTCCCTGACGCTGGACTCGTGGGAGCCTGAGCTGCTAAAGCTGATGTGTGAGCTTGGAAACAGCGCTGTGAATCAGATCTATGAGGCCCAGTGTGAGGGTGCAGGCAGCAGGAAACCCACAGCCAGCAGCTCCCGGCAGGACAAGGAGGCCTGGATCAAGGACAAATACGTGGAAAAGAAGTTTCTGCGGAAGGCGCCCATGGCACCAGCCCTGGAGGCCCCAAGACGCTGGAGGGTGCAGAAGTGCCTGCGGCCCCACAGCTCTCCCCGCGCTCCCACTGCCCGCCGCAAGGTCCGGCTTGAGCCCGTTCTGCCCTGTGTGGCCGCTCTGTCCTCAGTGGGCACCCTGGATCGTAAGTTCCGCCGAGACTCCCTCTTCTGTCCCGACGAGCTGGACTCGCTCTTCTCCTACTTCGACGCAGGGGCCGCAGGGGCTGGCCCTCGCAGTCTGAGTAGCGACAGTGGCCTTGGGGGCAGCTCGGATGGCAGCTCGGACGTCCTGGCTTTCGGCTCGGGCTCTGTGGTGGACAGCGTCACTGAGGAGGAGGGTGCAGAGTCGGAGGAGTCCAGCGGTGAGGCAGACGGGGACACTGAGGCCGAGGCCTGGGGCCTGGCGGACGTGCGCGAGCTGCACCCGGGGCTCTTGGCGCACCGCGCAGCGCGTGCCCGCGACCTTCCTGCGCTGGCGGCGGCGCTGGCCCACGGGGCCGAGGTCAACTGGGCGGACGCGGAGGATGAGGGCAAGACGCCGCTGGTGCAGGCCGTGCTAGGGGGCTCCTTGATCGTCTGTGAGTTCCTGCTGCAAAACGGAGCGGACGTGAACCAAAGAGACAGCCGGGGCCGGGCGCCCCTGCACCACGCCACGCTGCTGGGCCGCACCGGCCAGGTTTGCCTGTTCCTGAAGCGGGGCGCGGACCAGCACGCCCTGGACCAAGAGCAGCGGGACCCGTTGGCCATCGCAGTGCAGGCGGCCAACGCTGACATCGTGACACTGCTCCGTCTGGCGCGCATGGCGGAGGAAATGCGCGAGGCCGAGGCTGCCCCTGGTCCCCCGGGCGCCCTGGCGGGCAGCCCCACGGAGCTCCAGTTCCGCAGGTGTATCCAGGAGTTCATCAGCCTCCACCTGGAAGAGAGCTAG\n",
      "lcl|NC_000001.11_cds_XP_011538910.1_99 [gene=ACAP3] [db_xref=GeneID:116983] [protein=arf-GAP with coiled-coil, ANK repeat and PH domain-containing protein 3 isoform X4] [protein_id=XP_011538910.1] [location=complement(join(1293564..1293708,1293823..1293933,1294090..1294199,1294402..1294628,1294718..1294816,1295447..1295554,1295736..1295938,1296015..1296109,1296211..1296280,1296425..1296633,1297822..1297933,1298013..1298113,1298370..1298421,1298567..1298679,1299345..1299356,1299831..1299905,1300158..1300202,1300509..1300692,1301988..1302046,1302922..1302975,1303132..1303281,1304086..1304143,1307769..1307815))] [gbkey=CDS]\n",
      "ATGACCGTGGAGTTCGAGGAGTGCGTCAAGGACTCCCCGCGCTTCAGGGCGACCATTGACGAGGTGGAGACGGACGTGGTGGAGATTGAGGCCAAACTGGACAAGCTGGTGAAGCTGTGCAGTGGCATGGTGGAAGCCGGTAAGGCCTACGTCAGCACCAGCAGGCTTTTCGTGAGCGGCGTCCGCGACCTGTCCCAGCAGTGCCAGGGCGACACCGTCATCTCGGTGAGGGGCCGACTGACCTCTGACCTCAAGGAATGTCTGCAGAGGTTCGCTGACAGCCTACAGGAGGTGGTGAACTACCACATGATCCTGTTTGACCAGGCCCAGAGGTCCGTGCGGCAGCAGCTCCAGAGCTTTGTCAAAGAGGATGTGCGGAAGTTCAAGGAGACAAAGAAGCAGTTTGACAAGGTGCGGGAGGACCTGGAGCTGTCCCTGGTGAGGAACGCCCAGGCCCCGAGGCACCGGCCCCACGAGGTGGAGGAAGCCACCGGGGCCCTCACCCTCACCAGGAAGTGCTTCCGCCACCTGGCACTGGACTATGTGCTCCAGATCAATGTTCTGCAGGCCAAGAAGAAGTTTGAGATCCTGGACTCTCTGGACCAGCTGGTGATCGACTCTGCGGTGGAAAAGCGTGAGATGGAGCGAAAGCACGCCGCCATCCAGCAGCGGACGCTGCTGCAGGACTTCTCCTACGATGAGTCCAAAGTGGAGTTTGACGTGGACGCGCCCAGTGGGGTGGTGATGGAGGGCTACCTCTTCAAGAGGGCCAGCAACGCTTTCAAGACATGGAACCGGCGCTGGTTCTCCATTCAGAACAGCCAGCTGGTCTACCAGAAGAAGCTCAAGGATGCCCTCACCGTGGTGGTGGATGACCTCCGCCTGTGCTCTGTGAAGCCGTGTGAGGACATCGAGCGGAGGTTCTGCTTCGAGGTGCTGTCACCCACCAAGAGCTGCATGCTGCAGGCTGACTCCGAGAAGCTGCGGCAAGCCTGGGTCCAGGCTGTGCAGGCCAGCATCGCCTCCGCCTACCGCGAGAGCCCTGACAGTTGCTATAGCGAGAGGCTGGACCGCACAGCATCCCCGTCCACGAGCAGCATCGACTCCGCCACCGACACTCGGGAGCGTGGCGTGAAGGGCGAGAGTGTGCTGCAGCGTGTGCAGAGTGTGGCCGGCAACAGCCAGTGCGGCGACTGCGGCCAGCCGGACCCCCGCTGGGCCAGCATCAACCTGGGCGTGCTGCTCTGCATTGAGTGCTCCGGCATCCACAGGAGCCTGGGTGTCCACTGCTCCAAGGTGCGGTCCCTGACGCTGGACTCGTGGGAGCCTGAGCTGCTAAAGCTGATGTGTGAGCTTGGAAACAGCGCTGTGAATCAGATCTATGAGGCCCAGTGTGAGGGTGCAGGCAGCAGGAAACCCACAGCCAGCAGCTCCCGGCAGGACAAGGAGGCCTGGATCAAGGACAAATACGTGGAAAAGAAGTTTCTGCGGAAGGCGCCCATGGCACCAGCCCTGGAGGCCCCAAGACGCTGGAGGGTGCAGAAGTGCCTGCGGCCCCACAGCTCTCCCCGCGCTCCCACTGCCCGCCGCAAGGTCCGGCTTGAGCCCGTTCTGCCCTGTGTGGCCGCTCTGTCCTCAGTGGGCACCCTGGATCGTAAGTTCCGCCGAGACTCCCTCTTCTGTCCCGACGAGCTGGACTCGCTCTTCTCCTACTTCGACGCAGGGGCCGCAGGGGCTGGCCCTCGCAGTCTGAGTAGCGACAGTGGCCTTGGGGGCAGCTCGGATGGCAGCTCGGACGTCCTGGCTTTCGGCTCGGGCTCTGTGGTGGACAGCGTCACTGAGGAGGAGGGTGCAGAGTCGGAGGAGTCCAGCGGTGAGGCAGACGGGGACACTGAGGCCGAGGCCTGGGGCCTGGCGGACGTGCGCGAGCTGCACCCGGGGCTCTTGGCGCACCGCGCAGCGCGTGCCCGCGACCTTCCTGCGCTGGCGGCGGCGCTGGCCCACGGGGCCGAGGTCAACTGGGCGGACGCGGAGGATGAGGGCAAGACGCCGCTGGTGCAGGCCGTGCTAGGGGGCTCCTTGATCGTCTGTGAGTTCCTGCTGCAAAACGGAGCGGACGTGAACCAAAGAGACAGCCGGGGCCGGGCGCCCCTGCACCACGCCACGCTGCTGGGCCGCACCGGCCAGGTTTGCCTGTTCCTGAAGCGGGGCGCGGACCAGCACGCCCTGGACCAAGAGCAGCGGGACCCGTTGGCCATCGCAGTGCAGGCGGCCAACGCTGACATCGTGACACTGCTCCGTCTGGCGCGCATGGCGGAGGAAATGCGCGAGGCCGAGGCTGCCCCTGGTCCCCCGGGCGCCCTGGCGGGCAGCCCCACGGAGCTCCAGTTCCGCAGGTGTATCCAGGAGTTCATCAGCCTCCACCTGGAAGAGAGCTAG\n",
      "lcl|NC_000001.11_cds_XP_011538911.1_100 [gene=ACAP3] [db_xref=GeneID:116983] [protein=arf-GAP with coiled-coil, ANK repeat and PH domain-containing protein 3 isoform X5] [protein_id=XP_011538911.1] [location=complement(join(1293564..1293708,1293823..1293933,1294090..1294199,1294402..1294628,1295447..1295554,1295736..1295938,1296015..1296109,1296211..1296280,1296425..1296633,1297822..1297933,1298013..1298113,1298370..1298421,1298567..1298679,1299345..1299356,1299831..1299905,1299973..1300068,1300158..1300202,1300509..1300692,1301988..1302046,1302922..1302975,1303132..1303281,1304086..1304143,1307769..1307815))] [gbkey=CDS]\n",
      "ATGACCGTGGAGTTCGAGGAGTGCGTCAAGGACTCCCCGCGCTTCAGGGCGACCATTGACGAGGTGGAGACGGACGTGGTGGAGATTGAGGCCAAACTGGACAAGCTGGTGAAGCTGTGCAGTGGCATGGTGGAAGCCGGTAAGGCCTACGTCAGCACCAGCAGGCTTTTCGTGAGCGGCGTCCGCGACCTGTCCCAGCAGTGCCAGGGCGACACCGTCATCTCGGTGAGGGGCCGACTGACCTCTGACCTCAAGGAATGTCTGCAGAGGTTCGCTGACAGCCTACAGGAGGTGGTGAACTACCACATGATCCTGTTTGACCAGGCCCAGAGGTCCGTGCGGCAGCAGCTCCAGAGCTTTGTCAAAGAGGATGTGCGGAAGTTCAAGGAGACAAAGAAGCAGTTTGACAAGGTGCGGGAGGACCTGGAGCTGTCCCTGGTGAGGAACGCCCAGGCCCCGAGGCACCGGCCCCACGAGGTGGAGGAAGCCACCGGGGCCCTCACCCTCACCAGGAAGTGCTTCCGCCACCTGGCACTGGACTATGTGCTCCAGATCAATGTTCTGCAGGCCAAGAAGAAGTTTGAGATCCTGGACTCTATGCTGTCCTTCATGCACGCCCAGTCCAGCTTCTTCCAGCAGGGCTACAGCCTCCTGCACCAGCTGGACCCCTACATGAAGAAGCTGGCAGCCGAGCTGGACCAGCTGGTGATCGACTCTGCGGTGGAAAAGCGTGAGATGGAGCGAAAGCACGCCGCCATCCAGCAGCGGACGCTGCTGCAGGACTTCTCCTACGATGAGTCCAAAGTGGAGTTTGACGTGGACGCGCCCAGTGGGGTGGTGATGGAGGGCTACCTCTTCAAGAGGGCCAGCAACGCTTTCAAGACATGGAACCGGCGCTGGTTCTCCATTCAGAACAGCCAGCTGGTCTACCAGAAGAAGCTCAAGGATGCCCTCACCGTGGTGGTGGATGACCTCCGCCTGTGCTCTGTGAAGCCGTGTGAGGACATCGAGCGGAGGTTCTGCTTCGAGGTGCTGTCACCCACCAAGAGCTGCATGCTGCAGGCTGACTCCGAGAAGCTGCGGCAAGCCTGGGTCCAGGCTGTGCAGGCCAGCATCGCCTCCGCCTACCGCGAGAGCCCTGACAGTTGCTATAGCGAGAGGCTGGACCGCACAGCATCCCCGTCCACGAGCAGCATCGACTCCGCCACCGACACTCGGGAGCGTGGCGTGAAGGGCGAGAGTGTGCTGCAGCGTGTGCAGAGTGTGGCCGGCAACAGCCAGTGCGGCGACTGCGGCCAGCCGGACCCCCGCTGGGCCAGCATCAACCTGGGCGTGCTGCTCTGCATTGAGTGCTCCGGCATCCACAGGAGCCTGGGTGTCCACTGCTCCAAGGTGCGGTCCCTGACGCTGGACTCGTGGGAGCCTGAGCTGCTAAAGCTGATGTGTGAGCTTGGAAACAGCGCTGTGAATCAGATCTATGAGGCCCAGTGTGAGGGTGCAGGCAGCAGGAAACCCACAGCCAGCAGCTCCCGGCAGGACAAGGAGGCCTGGATCAAGGACAAATACGTGGAAAAGAAGTTTCTGCGGAAGGCGCCCATGGCACCAGCCCTGGAGGCCCCAAGACGCTGGAGGGTGCAGAAGTGCCTGCGGCCCCACAGCTCTCCCCGCGCTCCCACTGCCCGCCGCAAGGTCCGGCTTGAGCCCGTTCTGCCCTGTGTGGCCGCTCTGTCCTCAGTGGGCACCCTGGATCGTAAGTTCCGCCGAGACTCCCTCTTCTGTCCCGACGAGCTGGACTCGCTCTTCTCCTACTTCGACGCAGGGGCCGCAGGGGCTGGCCCTCGCAAGGGTGCAGAGTCGGAGGAGTCCAGCGGTGAGGCAGACGGGGACACTGAGGCCGAGGCCTGGGGCCTGGCGGACGTGCGCGAGCTGCACCCGGGGCTCTTGGCGCACCGCGCAGCGCGTGCCCGCGACCTTCCTGCGCTGGCGGCGGCGCTGGCCCACGGGGCCGAGGTCAACTGGGCGGACGCGGAGGATGAGGGCAAGACGCCGCTGGTGCAGGCCGTGCTAGGGGGCTCCTTGATCGTCTGTGAGTTCCTGCTGCAAAACGGAGCGGACGTGAACCAAAGAGACAGCCGGGGCCGGGCGCCCCTGCACCACGCCACGCTGCTGGGCCGCACCGGCCAGGTTTGCCTGTTCCTGAAGCGGGGCGCGGACCAGCACGCCCTGGACCAAGAGCAGCGGGACCCGTTGGCCATCGCAGTGCAGGCGGCCAACGCTGACATCGTGACACTGCTCCGTCTGGCGCGCATGGCGGAGGAAATGCGCGAGGCCGAGGCTGCCCCTGGTCCCCCGGGCGCCCTGGCGGGCAGCCCCACGGAGCTCCAGTTCCGCAGGTGTATCCAGGAGTTCATCAGCCTCCACCTGGAAGAGAGCTAG\n"
     ]
    }
   ],
   "source": [
    "printed_gene_ids = 0\n",
    "n_gene_ids_to_print = 100\n",
    "\n",
    "for gene_id, sequence in parsed_seqs.items():\n",
    "    \n",
    "    print(gene_id)\n",
    "    print(sequence)\n",
    "    printed_gene_ids +=1\n",
    "    if printed_gene_ids >= n_gene_ids_to_print:\n",
    "        break\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculating observed and expected CG dinucleotide frequencies for all the genes in a genome\n",
    "\n",
    "Now we want to run our code that we developed earlier in this notebook to calculate observed and expected frequencies of CG dinucleotides on a real genome. We'll need to keep track of which genes had which observed and expected CG contents. A natural way to do that is to have two more dictionaries, each keyed by gene id. So from our current dictionary that maps each gene id to one sequence, we will basically be building additional dictionaries that map each gene id to it's expected number of CG dinucleotides and its actual number of CG dinucleotides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parsing genome at path: ./GCF_000001405.39_GRCh38.p13_cds_from_genomic.fna\n",
      "Done parsing genome\n",
      "Calculating CG dinucleotide frequency...\n",
      "Done calculating CG dinucleotide frequency for 124038 ...\n"
     ]
    }
   ],
   "source": [
    "#Normally this would be determined\n",
    "#by user input from argparse.\n",
    "#It's 'hard-coded' for now.\n",
    "#Replace with a path\n",
    "#to a genome file on your computer\n",
    "input_file = human_genome_filepath\n",
    "\n",
    "print(f\"Parsing genome at path: {input_file}\")\n",
    "f = open(input_file)\n",
    "parsed_seqs = parse_fasta_file(input_file)\n",
    "print(\"Done parsing genome\")\n",
    "\n",
    "#Set up dicts to hold our\n",
    "#expected and observed results.\n",
    "\n",
    "expected_cg_freqs = {}\n",
    "observed_cg_freqs = {}\n",
    "\n",
    "#NOTE: Let's use the plural \"freqs\" for the \n",
    "#dict of all the frequencies (as shown above),\n",
    "#and the singular \"freq\" when referring to the\n",
    "#frequency of CGs in a single sequence\n",
    "\n",
    "\n",
    "print(\"Calculating CG dinucleotide frequency...\")\n",
    "#Loop over all the genes in a genome\n",
    "for gene_id, sequence in parsed_seqs.items():\n",
    "    \n",
    "    #Run our functions to calculate the frequency\n",
    "    #of observed and expected CGs for this specific sequence\n",
    "    observed_cg_freq = calculate_cg_content(sequence)\n",
    "    expected_cg_freq = calculate_expected_cg_content(sequence)\n",
    "    \n",
    "    #Save the results in dictionaries for later use\n",
    "    expected_cg_freqs[gene_id] = expected_cg_freq\n",
    "    observed_cg_freqs[gene_id] = observed_cg_freq\n",
    "\n",
    "total_genes = len(observed_cg_freqs)\n",
    "print(f\"Done calculating CG dinucleotide frequency for {total_genes} ...\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Testing our hypothesis with the data\n",
    "\n",
    "Good hypotheses make good predictions. If our hypothesis makes predictions that are very different from what we observe in biology, it's likely that our hypothesis is wrong. We can informally test how well our prediction works by plotting the predicited outcomes under our hypothesis (i.e. the `expected_cg_freq` for each gene) against our actual observations (the `observed_cg_freq` for each gene). If the two match well, this should roughly form a  straight line, with higher predictions corresponding to higher observations.\n",
    "\n",
    "To do this, we need to iterate over one of our dicts — let's say the dict of expected CG frequencies — and compare it against the other. Critically, both dicts are keyed by exactly the same set of gene ids, so we can safely look up any gene id in the expected dict in the observed dict as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "expected_values = [] #Let's build a list of expected CG dinucleotide frequency values\n",
    "observed_values = [] #...and a list of expected CG dinucleotide frequency values in the same order\n",
    "\n",
    "#Critically both sets of values must be in the same order,\n",
    "#We can use a for loop to look up the observed value that \n",
    "#corresponds with each expected value, using the gene id\n",
    "#to connect our two dicts of results, like this:\n",
    "\n",
    "for gene_id, expected_cg_freq in expected_cg_freqs.items():\n",
    "    \n",
    "    #look up the observed value in the other dictionary\n",
    "    observed_cg_freq = observed_cg_freqs[gene_id]    \n",
    "    expected_values.append(expected_cg_freq)\n",
    "    observed_values.append(observed_cg_freq)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check our results\n",
    "\n",
    "Before we go on to plot our results, let's examine the observed and expected values. This kind of checking is very important to catch mistakes before proceding. For example, the first time I wrote this code, I assumed that the sequences I would be sending to the functions for calculating CG frequencies were in uppercase. But the actual genome I used was lowercase. Since the count of \"G\" in a sequence \"ggggg\" is 0 (python distinguishes upper and lowercase letters), this resulted in observed and expected values of 0.0 for all genes! Checking your data for reasonableness as each step, and testing using hand-calculated examples where you are 100% certain of the right answer both really help ensure your code is giving you the results you expect. \n",
    "\n",
    "For now, let's print some example results and look at them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Example observed CG dinucleotide frequencies: [0.013251783893985729, 0.034858387799564274, 0.027944111776447105, 0.008519701810436636, 0.07634265423879272, 0.008519701810436636, 0.008519701810436636, 0.008519701810436636, 0.008519701810436636, 0.008519701810436636]\n",
      "Example expected CG dinucleotide frequencies: [0.04501429297321899, 0.07415951129907301, 0.07527460049959961, 0.05214801507506343, 0.11715976074904517, 0.05214801507506343, 0.05214801507506343, 0.05214801507506343, 0.05214801507506343, 0.05214801507506343]\n"
     ]
    }
   ],
   "source": [
    "n_examples = 10\n",
    "example_expected_values = expected_values[0:n_examples]\n",
    "example_observed_values = observed_values[0:n_examples]\n",
    "print(f\"Example observed CG dinucleotide frequencies: {example_observed_values}\")\n",
    "print(f\"Example expected CG dinucleotide frequencies: {example_expected_values}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To me, these results look fairly reasonable, at least at first glance. All are between 0.0 and 1.0 as we expect, no numbers obviously repeat, not all scores are 0.0 (as would happen if we forgot to convert our sequences to uppercase and therefore accidentally didn't count 'c' as 'C'!) Now let's build a graph to really see how our observations line up with the predictions of our hypothesis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building a simple scatter plot in matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Matplotlib is an older python library for generating graphs. We'll talk much more about different systems for data visualization and communication in the chapter on Data Visualization. For now, it's worth knowing how to make a simple scatterplot when you need one. \n",
    "\n",
    "We'll base our example on a [scatterplot tutorial](https://matplotlib.org/stable/gallery/shapes_and_collections/scatter.html) from the [matplotlib gallery](https://matplotlib.org/2.0.2/gallery.html). This gallery shows many example plots, and let's you click on each to get the code that produced it. You can explore some for yourself - just be aware that typically a lot of the code actually isn't graphing code at all - it's code to generate the data that they will plot. So usually the code you want to plot your data is much shorter and simpler than it may at first appear.\n",
    "\n",
    "[matplotlib](https://matplotlib.org/) is an example of a python library that comes with the Anaconda python distribution, but not basic python. The good news is *you don't have to install anything extra* if you already installed Anaconda python. We do however need to tell python we want to load up or 'import' the pyplot module from the matplotlib package. We can do that using the `import` keyword, as shown in the code below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Learning what's in a module the hard way\n",
    "\n",
    "We can figure out everything in matplotlib.pyplot by calling dir() on the module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Annotation',\n",
       " 'Arrow',\n",
       " 'Artist',\n",
       " 'AutoLocator',\n",
       " 'Axes',\n",
       " 'Button',\n",
       " 'Circle',\n",
       " 'Figure',\n",
       " 'FigureCanvasBase',\n",
       " 'FixedFormatter',\n",
       " 'FixedLocator',\n",
       " 'FormatStrFormatter',\n",
       " 'Formatter',\n",
       " 'FuncFormatter',\n",
       " 'GridSpec',\n",
       " 'IndexLocator',\n",
       " 'Line2D',\n",
       " 'LinearLocator',\n",
       " 'Locator',\n",
       " 'LogFormatter',\n",
       " 'LogFormatterExponent',\n",
       " 'LogFormatterMathtext',\n",
       " 'LogLocator',\n",
       " 'MaxNLocator',\n",
       " 'MultipleLocator',\n",
       " 'Normalize',\n",
       " 'NullFormatter',\n",
       " 'NullLocator',\n",
       " 'Number',\n",
       " 'PolarAxes',\n",
       " 'Polygon',\n",
       " 'Rectangle',\n",
       " 'ScalarFormatter',\n",
       " 'Slider',\n",
       " 'Subplot',\n",
       " 'SubplotTool',\n",
       " 'Text',\n",
       " 'TickHelper',\n",
       " 'Widget',\n",
       " '_INSTALL_FIG_OBSERVER',\n",
       " '_IP_REGISTERED',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__spec__',\n",
       " '_auto_draw_if_interactive',\n",
       " '_autogen_docstring',\n",
       " '_backend_mod',\n",
       " '_get_running_interactive_framework',\n",
       " '_interactive_bk',\n",
       " '_log',\n",
       " '_pylab_helpers',\n",
       " '_setp',\n",
       " '_setup_pyplot_info_docstrings',\n",
       " '_show',\n",
       " '_string_to_bool',\n",
       " 'acorr',\n",
       " 'angle_spectrum',\n",
       " 'annotate',\n",
       " 'arrow',\n",
       " 'autoscale',\n",
       " 'autumn',\n",
       " 'axes',\n",
       " 'axhline',\n",
       " 'axhspan',\n",
       " 'axis',\n",
       " 'axvline',\n",
       " 'axvspan',\n",
       " 'bar',\n",
       " 'barbs',\n",
       " 'barh',\n",
       " 'bone',\n",
       " 'box',\n",
       " 'boxplot',\n",
       " 'broken_barh',\n",
       " 'cla',\n",
       " 'clabel',\n",
       " 'clf',\n",
       " 'clim',\n",
       " 'close',\n",
       " 'cm',\n",
       " 'cohere',\n",
       " 'colorbar',\n",
       " 'colormaps',\n",
       " 'connect',\n",
       " 'contour',\n",
       " 'contourf',\n",
       " 'cool',\n",
       " 'copper',\n",
       " 'csd',\n",
       " 'cycler',\n",
       " 'dedent',\n",
       " 'delaxes',\n",
       " 'deprecated',\n",
       " 'disconnect',\n",
       " 'docstring',\n",
       " 'draw',\n",
       " 'draw_all',\n",
       " 'draw_if_interactive',\n",
       " 'errorbar',\n",
       " 'eventplot',\n",
       " 'figaspect',\n",
       " 'figimage',\n",
       " 'figlegend',\n",
       " 'fignum_exists',\n",
       " 'figtext',\n",
       " 'figure',\n",
       " 'fill',\n",
       " 'fill_between',\n",
       " 'fill_betweenx',\n",
       " 'findobj',\n",
       " 'flag',\n",
       " 'gca',\n",
       " 'gcf',\n",
       " 'gci',\n",
       " 'get',\n",
       " 'get_backend',\n",
       " 'get_cmap',\n",
       " 'get_current_fig_manager',\n",
       " 'get_figlabels',\n",
       " 'get_fignums',\n",
       " 'get_plot_commands',\n",
       " 'get_scale_docs',\n",
       " 'get_scale_names',\n",
       " 'getp',\n",
       " 'ginput',\n",
       " 'gray',\n",
       " 'grid',\n",
       " 'hexbin',\n",
       " 'hist',\n",
       " 'hist2d',\n",
       " 'hlines',\n",
       " 'hot',\n",
       " 'hsv',\n",
       " 'importlib',\n",
       " 'imread',\n",
       " 'imsave',\n",
       " 'imshow',\n",
       " 'inferno',\n",
       " 'inspect',\n",
       " 'install_repl_displayhook',\n",
       " 'interactive',\n",
       " 'ioff',\n",
       " 'ion',\n",
       " 'isinteractive',\n",
       " 'jet',\n",
       " 'legend',\n",
       " 'locator_params',\n",
       " 'logging',\n",
       " 'loglog',\n",
       " 'magma',\n",
       " 'magnitude_spectrum',\n",
       " 'margins',\n",
       " 'matplotlib',\n",
       " 'matshow',\n",
       " 'minorticks_off',\n",
       " 'minorticks_on',\n",
       " 'mlab',\n",
       " 'new_figure_manager',\n",
       " 'nipy_spectral',\n",
       " 'np',\n",
       " 'pause',\n",
       " 'pcolor',\n",
       " 'pcolormesh',\n",
       " 'phase_spectrum',\n",
       " 'pie',\n",
       " 'pink',\n",
       " 'plasma',\n",
       " 'plot',\n",
       " 'plot_date',\n",
       " 'plotfile',\n",
       " 'plotting',\n",
       " 'polar',\n",
       " 'prism',\n",
       " 'psd',\n",
       " 'pylab_setup',\n",
       " 'quiver',\n",
       " 'quiverkey',\n",
       " 'rc',\n",
       " 'rcParams',\n",
       " 'rcParamsDefault',\n",
       " 'rcParamsOrig',\n",
       " 'rc_context',\n",
       " 'rcdefaults',\n",
       " 'rcsetup',\n",
       " 're',\n",
       " 'register_cmap',\n",
       " 'rgrids',\n",
       " 'savefig',\n",
       " 'sca',\n",
       " 'scatter',\n",
       " 'sci',\n",
       " 'semilogx',\n",
       " 'semilogy',\n",
       " 'set_cmap',\n",
       " 'setp',\n",
       " 'show',\n",
       " 'silent_list',\n",
       " 'specgram',\n",
       " 'spring',\n",
       " 'spy',\n",
       " 'stackplot',\n",
       " 'stem',\n",
       " 'step',\n",
       " 'streamplot',\n",
       " 'style',\n",
       " 'subplot',\n",
       " 'subplot2grid',\n",
       " 'subplot_tool',\n",
       " 'subplots',\n",
       " 'subplots_adjust',\n",
       " 'summer',\n",
       " 'suptitle',\n",
       " 'switch_backend',\n",
       " 'sys',\n",
       " 'table',\n",
       " 'text',\n",
       " 'thetagrids',\n",
       " 'tick_params',\n",
       " 'ticklabel_format',\n",
       " 'tight_layout',\n",
       " 'time',\n",
       " 'title',\n",
       " 'tricontour',\n",
       " 'tricontourf',\n",
       " 'tripcolor',\n",
       " 'triplot',\n",
       " 'twinx',\n",
       " 'twiny',\n",
       " 'uninstall_repl_displayhook',\n",
       " 'violinplot',\n",
       " 'viridis',\n",
       " 'vlines',\n",
       " 'waitforbuttonpress',\n",
       " 'warn_deprecated',\n",
       " 'warnings',\n",
       " 'winter',\n",
       " 'xcorr',\n",
       " 'xkcd',\n",
       " 'xlabel',\n",
       " 'xlim',\n",
       " 'xscale',\n",
       " 'xticks',\n",
       " 'ylabel',\n",
       " 'ylim',\n",
       " 'yscale',\n",
       " 'yticks']"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(matplotlib.pyplot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's a lot of stuff! Scrolling through the list, I notice a `scatter` function. To learn more about it, we could call `help()` on that function. When we refer to it, we would have to first say the name of the module, then put a period, and then call the function or class we wanted:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function scatter in module matplotlib.pyplot:\n",
      "\n",
      "scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=None, edgecolors=None, *, data=None, **kwargs)\n",
      "    A scatter plot of *y* vs *x* with varying marker size and/or color.\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    x, y : array_like, shape (n, )\n",
      "        The data positions.\n",
      "    \n",
      "    s : scalar or array_like, shape (n, ), optional\n",
      "        The marker size in points**2.\n",
      "        Default is ``rcParams['lines.markersize'] ** 2``.\n",
      "    \n",
      "    c : color, sequence, or sequence of color, optional\n",
      "        The marker color. Possible values:\n",
      "    \n",
      "        - A single color format string.\n",
      "        - A sequence of color specifications of length n.\n",
      "        - A sequence of n numbers to be mapped to colors using *cmap* and\n",
      "          *norm*.\n",
      "        - A 2-D array in which the rows are RGB or RGBA.\n",
      "    \n",
      "        Note that *c* should not be a single numeric RGB or RGBA sequence\n",
      "        because that is indistinguishable from an array of values to be\n",
      "        colormapped. If you want to specify the same RGB or RGBA value for\n",
      "        all points, use a 2-D array with a single row.  Otherwise, value-\n",
      "        matching will have precedence in case of a size matching with *x*\n",
      "        and *y*.\n",
      "    \n",
      "        Defaults to ``None``. In that case the marker color is determined\n",
      "        by the value of ``color``, ``facecolor`` or ``facecolors``. In case\n",
      "        those are not specified or ``None``, the marker color is determined\n",
      "        by the next color of the ``Axes``' current \"shape and fill\" color\n",
      "        cycle. This cycle defaults to :rc:`axes.prop_cycle`.\n",
      "    \n",
      "    marker : `~matplotlib.markers.MarkerStyle`, optional\n",
      "        The marker style. *marker* can be either an instance of the class\n",
      "        or the text shorthand for a particular marker.\n",
      "        Defaults to ``None``, in which case it takes the value of\n",
      "        :rc:`scatter.marker` = 'o'.\n",
      "        See `~matplotlib.markers` for more information about marker styles.\n",
      "    \n",
      "    cmap : `~matplotlib.colors.Colormap`, optional, default: None\n",
      "        A `.Colormap` instance or registered colormap name. *cmap* is only\n",
      "        used if *c* is an array of floats. If ``None``, defaults to rc\n",
      "        ``image.cmap``.\n",
      "    \n",
      "    norm : `~matplotlib.colors.Normalize`, optional, default: None\n",
      "        A `.Normalize` instance is used to scale luminance data to 0, 1.\n",
      "        *norm* is only used if *c* is an array of floats. If *None*, use\n",
      "        the default `.colors.Normalize`.\n",
      "    \n",
      "    vmin, vmax : scalar, optional, default: None\n",
      "        *vmin* and *vmax* are used in conjunction with *norm* to normalize\n",
      "        luminance data. If None, the respective min and max of the color\n",
      "        array is used. *vmin* and *vmax* are ignored if you pass a *norm*\n",
      "        instance.\n",
      "    \n",
      "    alpha : scalar, optional, default: None\n",
      "        The alpha blending value, between 0 (transparent) and 1 (opaque).\n",
      "    \n",
      "    linewidths : scalar or array_like, optional, default: None\n",
      "        The linewidth of the marker edges. Note: The default *edgecolors*\n",
      "        is 'face'. You may want to change this as well.\n",
      "        If *None*, defaults to rcParams ``lines.linewidth``.\n",
      "    \n",
      "    edgecolors : color or sequence of color, optional, default: 'face'\n",
      "        The edge color of the marker. Possible values:\n",
      "    \n",
      "        - 'face': The edge color will always be the same as the face color.\n",
      "        - 'none': No patch boundary will be drawn.\n",
      "        - A matplotib color.\n",
      "    \n",
      "        For non-filled markers, the *edgecolors* kwarg is ignored and\n",
      "        forced to 'face' internally.\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    paths : `~matplotlib.collections.PathCollection`\n",
      "    \n",
      "    Other Parameters\n",
      "    ----------------\n",
      "    **kwargs : `~matplotlib.collections.Collection` properties\n",
      "    \n",
      "    See Also\n",
      "    --------\n",
      "    plot : To plot scatter plots when markers are identical in size and\n",
      "        color.\n",
      "    \n",
      "    Notes\n",
      "    -----\n",
      "    \n",
      "    * The `.plot` function will be faster for scatterplots where markers\n",
      "      don't vary in size or color.\n",
      "    \n",
      "    * Any or all of *x*, *y*, *s*, and *c* may be masked arrays, in which\n",
      "      case all masks will be combined and only unmasked points will be\n",
      "      plotted.\n",
      "    \n",
      "    * Fundamentally, scatter works with 1-D arrays; *x*, *y*, *s*, and *c*\n",
      "      may be input as 2-D arrays, but within scatter they will be\n",
      "      flattened. The exception is *c*, which will be flattened only if its\n",
      "      size matches the size of *x* and *y*.\n",
      "    \n",
      "    .. note::\n",
      "        In addition to the above described arguments, this function can take a\n",
      "        **data** keyword argument. If such a **data** argument is given, the\n",
      "        following arguments are replaced by **data[<arg>]**:\n",
      "    \n",
      "        * All arguments with the following names: 'c', 'color', 'edgecolors', 'facecolor', 'facecolors', 'linewidths', 's', 'x', 'y'.\n",
      "    \n",
      "        Objects passed as **data** must support item access (``data[<arg>]``) and\n",
      "        membership test (``<arg> in data``).\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(matplotlib.pyplot.scatter)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Typically, the built-in help is less useful than Googling tutorials of e.g. how to make a scatterplot with matplotlib. Googling tutorials or looking at the gallery is also typically a better way to find what you're looking for than listing everything with `dir`. It can, however, be useful to call `help` to look up specific details, or discover new capabilities to research using `dir` (for example, I'm now wondering what `prism` does? Sounds cool!)\n",
    "\n",
    "#### Importing Modules under an Alias\n",
    "\n",
    "In practice, it can be very annoying to type out `matplotlib.pyplot.whatever()` every time you want to refer to a function from matplotlib. Therefore, folks typically import the module using an **alias** or alternative name. This lets you set a short name or nickname you will use to refer to the module by. `matplotlib` is so heavily used in python that it has a conventional alias. By convention, `matplotlib.pyplot` is typically imported under the alias `plt`. You can do this as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Building a simple scatter plot with our data\n",
    "\n",
    "Once we have `matplotlib` imported under the alias `plt`, it takes only a couple of lines of code to make and show a scatterplot: a call to the `scatter` function to build our plot, and a call to the `show` function to show it.\n",
    "\n",
    "Finally, to get matplotlib images to show up properly in Jupyter Notebooks, we have to include a special line that directs IPython (on which Jupyter Notebooks are built) to show matplotlib images 'in line'. \n",
    "\n",
    "Altogether this is only 3 lines of code!\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "#The next line is not needed if running outside of Jupyter Notebooks\n",
    "%matplotlib inline \n",
    "plt.scatter(expected_values,observed_values)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " We now have a functional if not especially pretty graph of the frequency of CG dinucleotides across an entire genome. Not bad!\n",
    " \n",
    " The next few sections will discuss some common tweaks you can do to make your scatterplots and other matplotlib plots a little bit prettier. Feel free to skip them if you like.\n",
    "\n",
    "#### Modifying the color and transparency of our scatter plot\n",
    "\n",
    "We can adjust the color of points with the `color` parameter. We can either pass in a specific color, a list of colors for each point, or use one of matplotlib's prebuilt named colors. You can find a list of all the pre-built named colors that come with matplotlib [here](https://matplotlib.org/stable/gallery/color/named_colors.html).\n",
    "\n",
    "We might also notice that our points are all on top of each other, so it's hard to tell how many there are in the middle of the graph. We can partially address this using the `alpha` parameter, which sets the transparency of your points:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "#This line is not needed if running outside of Jupyter Notebooks\n",
    "%matplotlib inline \n",
    "\n",
    "#Build the plot\n",
    "plt.scatter(expected_values,observed_values,color='purple',alpha = 0.10)\n",
    "#Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Adding x and y labels\n",
    "\n",
    "We can add x and y labels with the `xlabel` and `ylabel` functions in `matplotlib.pyplot`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Build the plot\n",
    "plt.scatter(expected_values,observed_values,color='purple',alpha = 0.05)\n",
    "\n",
    "#Add x and y labels\n",
    "plt.xlabel(\"Expected f(CG)\")\n",
    "plt.ylabel(\"Obseved f(CG)\")\n",
    "\n",
    "#Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Adding a reference line\n",
    "\n",
    "It's sort of hard to see whether the observed points are above or below our predictions. Let's add a reference line to our plot that reflects what we would see if our observations perfectly matched our predictions. This is equivalent to plotting a line where the y-value for each point is the same as it's x-value. We can accomplish that with the matplotlib.pyplot `plot` function. You can find additional documentation about this function [here](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xs = expected_values\n",
    "ys = observed_values\n",
    "\n",
    "#Build the scatter plot\n",
    "plt.scatter(xs,ys,color='purple',alpha = 0.05)\n",
    "\n",
    "#Plot the line representing expected values\n",
    "#NOTE: I did not in any way remember all these parameters, \n",
    "#I have to look it up almost every time in the reference:\n",
    "#https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html\n",
    "plt.plot(xs, xs, color = 'red',linestyle='solid',linewidth=5.0)\n",
    "\n",
    "#Add x and y labels\n",
    "plt.xlabel(\"Expected f(CG)\")\n",
    "plt.ylabel(\"Obseved f(CG)\")\n",
    "\n",
    "#For convenience save x and y values in xs and ys\n",
    "xs = expected_values\n",
    "ys = observed_values\n",
    "\n",
    "\n",
    "#Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Adding colors to represent error\n",
    "\n",
    "It might be nice if the colors of our points reflected error (typically represented as the squared difference from the red expectation line). `matplotlib` will accept a list of colors, and can translate numbers into colors using a color map of `cmap`. We just have to set up numbers that represent the amount of error in our prediction of CG content for each gene, pick a cmap (a list of cmap names can be found [here](https://matplotlib.org/stable/tutorials/colors/colormaps.html)), and then pass our list of colors (as numbers) and our chosen color map name (as a string) into scatter. Here's how we might do this: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Matplotlib can translate floating point numbers into colors\n",
    "#Therefore we can use this to color based on the squared difference\n",
    "#between our expected (x) and observed(y) values\n",
    "\n",
    "#Behind the scenes matplotlib uses a colormap or cmap to do this\n",
    "#so we can also adjust how our numbers --> colors by giving a \n",
    "#new cmap name. A list of cmaps can be found here:\n",
    "#https://matplotlib.org/stable/tutorials/colors/colormaps.html\n",
    "\n",
    "colors = [((x - y)**2) for x,y in zip(xs,ys)]\n",
    "\n",
    "#Build the scatter plot\n",
    "plt.scatter(xs,ys,c=colors,cmap = 'plasma',alpha = 0.05)\n",
    "\n",
    "#Plot the line representing expected values\n",
    "#NOTE: I did not in any way remember all these parameters, \n",
    "#I have to look it up almost every time in the reference:\n",
    "#https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html\n",
    "plt.plot(xs, xs, color = 'red',linestyle='solid',linewidth=5.0)\n",
    "\n",
    "#Add x and y labels\n",
    "plt.xlabel(\"Expected f(CG)\")\n",
    "plt.ylabel(\"Obseved f(CG)\")\n",
    "\n",
    "#For convenience save x and y values in xs and ys\n",
    "xs = expected_values\n",
    "ys = observed_values\n",
    "\n",
    "\n",
    "#Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Additional styling\n",
    "\n",
    "This [guide](https://www.ajnisbet.com/blog/tufte-in-matplotlib) has some examples of how to style matplotlib plots following the style recommendations in Edward Tufte's 'The Visual Display of Quantitative Information'. We can adapt some of these tricks to our scatter plot. Many are minor — like turning off unnecessary tick marks on axes and making font sizes a bit bigger than the default — but together they do in my opinion make the figure look a bit better. I'd note that for this level of detail, unless you make figures in matplotlib almost daily, you will likely have to remind yourself how to adjust certain aspects of your figure. That's OK and very normal.\n",
    "\n",
    "In any case, here's what I arrived at after some fussing and in consultation with the guide linked above:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "xs = expected_values\n",
    "ys = observed_values\n",
    "N = len(expected_values)\n",
    "\n",
    "#Matplotlib can translate floating point numbers into colors\n",
    "#Therefore we can use this to color based on the squared difference\n",
    "#between our expected (x) and observed(y) values\n",
    "\n",
    "#Behind the scenes matplotlib uses a colormap or cmap to do this\n",
    "#so we can also adjust how our numbers --> colors by giving a \n",
    "#new cmap name. A list of cmaps can be found here:\n",
    "#https://matplotlib.org/stable/tutorials/colors/colormaps.html\n",
    "\n",
    "colors = [((x - y)**2) for x,y in zip(xs,ys)]\n",
    "area = 15  \n",
    "\n",
    "#Plot a line showing our expectation\n",
    "plt.rcParams.update({'font.size': 22})\n",
    "# Prepare the plot  \n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "#Plot the scatterplot\n",
    "plt.scatter(xs, ys, s=area, c=colors, cmap = 'plasma', alpha=0.25)\n",
    "\n",
    "#Plot the line representing expected values\n",
    "plt.plot(xs, xs, color = 'red',linestyle='solid',linewidth=5.0)\n",
    "\n",
    "# We change the fontsize of minor ticks label \n",
    "ax.tick_params(axis='both', which='major', labelsize=18)\n",
    "\n",
    "# Global options.\n",
    "plt.rcParams['font.family'] = 'serif'\n",
    "\n",
    "#Set the axes to only show two digits\n",
    "from matplotlib.ticker import FormatStrFormatter\n",
    "ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))\n",
    "ax.xaxis.set_major_formatter(FormatStrFormatter('%.2f'))\n",
    "\n",
    "# Remove axis lines.\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "# Increase y tick spacing.\n",
    "import matplotlib.ticker as ticker\n",
    "\n",
    "# Set where the numbers occur on the x and y axes so they\n",
    "# aren't crowded.\n",
    "\n",
    "#There are 16 dinucleotides, so maybe 1/16 is a natural\n",
    "# x axis tick spacing?\n",
    "\n",
    "n_dinucs = 16\n",
    "spacing = 1.0 /n_dinucs\n",
    "\n",
    "ax.yaxis.set_major_locator(ticker.MultipleLocator(base= spacing))\n",
    "ax.xaxis.set_major_locator(ticker.MultipleLocator(base= spacing))\n",
    "\n",
    "#Add some extra space on each side of the axis numbers\n",
    "extra_space = 0.03\n",
    "max_x_or_y_value = max(max(xs),max(ys))\n",
    "min_x_or_y_value = min(min(xs),min(ys))\n",
    "\n",
    "plt.xlim(min_x_or_y_value - extra_space, max_x_or_y_value + extra_space)\n",
    "plt.ylim(min_x_or_y_value - extra_space, max_x_or_y_value + extra_space)\n",
    "\n",
    "# Adjust the range of the x and y axis lines so they match the \n",
    "# minimum and maximum\n",
    "# values in the data (this is known as a 'range frame')\n",
    "ax.spines['bottom'].set_bounds(min(xs), max(xs))\n",
    "ax.spines['left'].set_bounds(min(ys), max(ys))\n",
    "\n",
    "\n",
    "plt.xlabel(\"Expected f(CG)\",)\n",
    "plt.ylabel(\"Obseved f(CG)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Save our figure\n",
    "\n",
    "Finally, the `matplotlib.pyplot` module has a way to save our figures to a file for later reference. The `dpi` parameter can be used to control the resolution (dpi = \"dots per inch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.DS_Store',\n",
       " '.ipynb_checkpoints',\n",
       " '243230.17',\n",
       " '243230.17 2',\n",
       " '9606.33',\n",
       " '9606.33 2',\n",
       " '9606.33 3',\n",
       " 'Dict and List review.ipynb',\n",
       " 'GCF_000001405.39_GRCh38.p13_cds_from_genomic.fna',\n",
       " 'GCF_000001405.39_GRCh38.p13_cds_from_genomic.fna.gz',\n",
       " 'hello_world.py',\n",
       " 'human_cg_content.png',\n",
       " 'PATRIC_Export (1).zip',\n",
       " 'PATRIC_Export (2).zip',\n",
       " 'PATRIC_Export.zip',\n",
       " 'PATRIC_Export_human.zip',\n",
       " 'PATRIC_Export_human_all.zip',\n",
       " 'PATRIC_genome.txt',\n",
       " 'Practice with data types.ipynb',\n",
       " 'procedure.txt.save',\n",
       " 'testing_genomes_for_depletion_of_CG_dinucleotides.ipynb',\n",
       " 'Untitled.ipynb']"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.savefig('human_cg_content.png',dpi=300)\n",
    "from os import listdir\n",
    "listdir()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Relating our Results to our Hypothesis\n",
    "\n",
    "Now that we've gotten through the technical part of this project, let's step back and look at our figure. Based on what you see do you think that the frequency of \"CG\" dinucleotides that occur in human genomes can be predicted well by the independent frequencies of \"C\" and \"G\"?\n",
    "\n",
    "**Stop and think**: write down what you think the data tells you about our original hypothesis, and why?\n",
    "\n",
    "(You can fill in your answer here)\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n",
    "<br>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, got an idea? If I were to answer this question, I would first look at the graph. It's pretty clear that nearly all the points fall below the red line. This means that in the vast majority of genes in the human genome, the number of *actual* CG dinucleotides we really see is much lower than the number that \"should\" be there if CGs were just an ordinary letter combination formed by more or less random co-occurence of C and G. Therefore, this data directly and conclusively disproves our hypothesis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Why are there so few CG dinucleotides?\n",
    "\n",
    "It turns out that this phenomenon is special to \"CG\" dinucleotides specifically, and doesn't occur in all organisms. However, in humans and other mammals, it turns out that the C in CG dinucleotides get's modified with a methyl (-CH<sub>4</sub>) group at a higher rate than C's occuring on their own. Cytosine (C) nucleotides modified with a methyl group (\"methylated cytosines\") that are in a CG dinucleotide are called CpG sites. These CpG sites reduce the ability of DNA transcription to occur in nearby genes. Therefore, in the human genome there are far fewer CG dinucleotides in protein coding genes than you would expect by chance. However, GC dinucleotides occur at a normal rate within protein coding genes. You can learn more about these CpG islands [here](https://en.wikipedia.org/wiki/CpG_site)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercises\n",
    "\n",
    "\n",
    "1. In this notebook, we calculated CG dinucelotide content across an entire genome to test the hypothesis that CG dinucleotides occur at the rate we would expect by chance if C and G occur *independently* (in a statistical sense). Test the same hypothesis for GC dinucleotides by modifying the above code. Do you get the same result?\n",
    "\n",
    "2. Modify the above code to calculate and plot the GC content — the frequency of G and C divided by the frequency of all nucleotides — of every gene in the human genome against the length of each gene in the human genome\n",
    "\n"
   ]
  }
 ],
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