docs/notebooks/6_dandelion_running_from_R-10x_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Running from R\n",
    "\n",
    "## Foreword\n",
    "<b>dandelion</b> is written in `python==3.7.6` and it is primarily a single-cell BCR-seq analysis package. It makes use of some tools from the fantastic [immcantation suite](https://immcantation.readthedocs.io/) and the main idea is that it implements a workflow for the pre-processing and exploratory stages with integrated use of tools from *immcantation* for the BCR side of things and analysis tools from [*scanpy*](https://scanpy.readthedocs.io/) for the RNA-seq side of things. I hope to be able to introduce some new single-cell BCR-seq exploratory tools down the road through *dandelion*. \n",
    "\n",
    "<b>dandelion</b> can be run in `R` through `reticulate`. This section will try to replicate the examples using `R`. \n",
    "\n",
    "There are some issues with the conversion of dataframes between python and R so I would <b>not</b> recommend saving the final `AnnData` object as a final out file, but only use this to help generate the intermediate files from the BCR processing and the plots. Please store your original analysis some where safe. I would also skip quantify mutation step due to conflicts between rpy2 and reticulate.\n",
    "\n",
    "For more details, please refer to the original python tutorial.\n",
    "\n",
    "Let's start!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, install reticulate via if you don't already have it:\n",
    "\n",
    "`install.packages(\"reticulate\")`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "library(reticulate)\n",
    "use_condaenv(\"dandelion\")\n",
    "# or use Sys.setenv(RETICULATE_PYTHON = conda_python(envname='dandelion'))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can check if the python config is set up properly with `py_config()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message in system2(\"poetry\", c(\"env\", \"info\", \"--path\"), stdout = TRUE):\n",
      "“running command ''poetry' env info --path' had status 1”\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "python:         /opt/homebrew/Caskroom/mambaforge/base/envs/dandelion/bin/python\n",
       "libpython:      /opt/homebrew/Caskroom/mambaforge/base/envs/dandelion/lib/libpython3.11.dylib\n",
       "pythonhome:     /opt/homebrew/Caskroom/mambaforge/base/envs/dandelion:/opt/homebrew/Caskroom/mambaforge/base/envs/dandelion\n",
       "version:        3.11.4 | packaged by conda-forge | (main, Jun 10 2023, 18:08:41) [Clang 15.0.7 ]\n",
       "numpy:          /opt/homebrew/Caskroom/mambaforge/base/envs/dandelion/lib/python3.11/site-packages/numpy\n",
       "numpy_version:  1.24.4\n",
       "\n",
       "NOTE: Python version was forced by use_python function"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "py_config()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To proceed with the analyses, we first change the working directory and also import the dandelion module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# change directory to somewhere more workable\n",
    "setwd(\"~/Downloads/dandelion_tutorial/\")\n",
    "ddl <- import(\"dandelion\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As per reticulate convention, python `.` operators are to be swaped with `$` in R."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pre-processing\n",
    "To being the BCR preprocessing, the minimum files you require are the following:\n",
    "```console\n",
    "filtered_contig.fasta\n",
    "filtered_contig_annotations.csv\n",
    "```\n",
    "\n",
    "### Step 1: Formatting the headers of the Cell Ranger fasta file\n",
    "This will do the following:\n",
    "1) add the prefix provided to every sequence header\n",
    "\n",
    "2) add the prefix provided to every contig_id in the annotation.csv file\n",
    "\n",
    "3) create a folder called `dandelion/data` (if left as default) and saves a copy of these files in that directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# the first option is a list of fasta files to format and the second option is the list of prefix to add to each file.\n",
    "samples <- c(\"sc5p_v2_hs_PBMC_1k\", \"sc5p_v2_hs_PBMC_10k\", \"vdj_v1_hs_pbmc3\", \"vdj_nextgem_hs_pbmc3\")\n",
    "ddl$pp$format_fastas(samples, prefix = samples)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Reannotate the V/D/J genes with *igblastn*.\n",
    "\n",
    "`ddl$pp$reannotate_genes` uses [*changeo*](https://changeo.readthedocs.io/en/stable/examples/10x.html)'s scripts to call *igblastn* to reannotate the fasta files. Depending on the `fileformat` option, it will parse out as either an `airr` (default) or `changeo`-legacy TSV file. Importantly, with the recent update to changeo v1.0.0, all the column headers, including *changeo* format, are now adhereing to the [*AIRR*](http://docs.airr-community.org/) standard (lowercase and some column name changes). Specifying `extended = True` will return the additional 10x annotation of V/D/J genes but they are unnecessary at this stage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "ddl$pp$reannotate_genes(samples)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "you should see something like this in the terminal:\n",
    "```console\n",
    "Assigning genes :   0%|                                        | 0/4 [00:00<?, ?it/s]   \n",
    "START> AssignGenes\n",
    " COMMAND> igblast\n",
    " VERSION> 1.15.0\n",
    "    FILE> sc5p_v2_hs_PBMC_10k_b_filtered_contig.fasta\n",
    "ORGANISM> human\n",
    "    LOCI> ig\n",
    "   NPROC> 4\n",
    "\n",
    "PROGRESS> 12:30:37 |Running IgBLAST          | 0.0 min\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3 : Reassigning heavy chain V gene alleles *(optional but recommended)*\n",
    "\n",
    "Next, we use *immcantation's TIgGER* method to reassign allelic calls for heavy chain V genes with `pp.reassign_alleles`. As stated in TIgGER's [website](https://tigger.readthedocs.io/en/stable/) and [manuscript](https://pubmed.ncbi.nlm.nih.gov/25675496/), *'TIgGER is a computational method that significantly improves V(D)J allele assignments by first determining the complete set of gene segments carried by an individual (including novel alleles) from V(D)J-rearrange sequences. TIgGER can then infer a subject’s genotype from these sequences, and use this genotype to correct the initial V(D)J allele assignments.'*\n",
    "\n",
    "This impact's on how contigs are chosen for finding clones later so it is highly recommended to run it. It is also important when considering to do mutational analysis. \n",
    "\n",
    "However, the main caveat is that this needs to be run on multiple samples from the same subject to allow for more information to be used to confidently assign a genotyped *v_call*. In this tutorial, I'm assuming the four samples can be split into two sets where sets of two corresponds to a different/single individual. So while important, this step can be skipped if you don't have the samples to do this. \n",
    "\n",
    "`pp.reassign_alleles` requires the `combined_folder` option to be specified so that a merged/concatenated file can be produced for running TIgGER. The function also runs `pp.create_germlines` using the germline database updated with the germline corrections from TIgGER. The default behavior is that it will return a `germline_alignment_d_mask` column in the final output. This can be changed by specifying `germ_types` option; see [here](https://changeo.readthedocs.io/en/stable/tools/CreateGermlines.html#creategermlines) for other options.\n",
    "\n",
    "Specifying `fileformat = 'changeo'` will run on changeo formatted files if this was run earlier; but it's probably best to stick to airr's standard format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# reassigning alleles on the first set of samples\n",
    "ddl$pp$reassign_alleles(samples[1:2], combined_folder = \"tutorial_scgp1\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# reassigning alleles on the first set of samples\n",
    "ddl$pp$reassign_alleles(samples[3:4], combined_folder = \"tutorial_scgp2\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that most of the original ambiguous V calls have now been corrected and only a few remain. These will be flagged as multi later on and can probably be excluded from detailed analyses. For now, leaving them in the data will not impact on subsequent analyses. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 4: Assigning constant region calls\n",
    "\n",
    "Cell Ranger's annotation files provides a *c_gene* column, but rather than simply relying on Cell Ranger's annotation, it is common to use [*immcantation-presto*'s *MaskPrimers.py*](https://presto.readthedocs.io/en/version-0.5.3---license-change/tools/MaskPrimers.html) with a custom primer list. \n",
    "\n",
    "As an alternative, `dandelion` includes a pre-processing function, `pp.assign_isotypes`, to use *blastn* to annotate constant region calls for all contigs and retrieves the call, merging it with the tsv files. This function will overwrite the output from previous steps and add a *c_call* column at the end, or replace the existing column if it already exists. The Cell Ranger calls are returned as `c_call_10x`.\n",
    "\n",
    "Further, to deal with incorrect constant gene calls due to insufficient length, a pairwise alignment will be run against [curated sequences](https://immunology.sciencemag.org/content/6/56/eabe6291) that were deemed to be highly specific in distinguishing `IGHA1` vs `IGHA2`, and `IGHG1` to `IGHG4`. I have also curated sets of sequences that should help deal with `IGLC3/6/7` as these are problematic too. If there is insufficient info, the `c_call` will be returned as a combination of the most aligned sets of sequences. Because of how similar the lambda light chains are, extremely ambiguous calls (only able to map to a common sequence across the light chains) will be returned as `IGLC`. This typically occurs when the constant sequence is very short. Those that have equal alignment scores between `IGLC3/6/7` sequences and the common sequence will be returned as a concatenated call; for example, a contig initially annotated as `IGLC3` will be returned as `IGLC,IGLC3`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "ddl$pp$assign_isotypes(samples)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "Note\n",
    "    \n",
    "Should you want to use a different reference fasta file for this step, run with the following option:\n",
    "\n",
    "```R\n",
    "ddl$pp$assign_isotypes(samples, blastdb = \"path/to/custom_BCR_constant.fasta\")\n",
    "```\n",
    "\n",
    "The default option will return a summary plot that can be disabled with `plot = FALSE`.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's worthwhile to manually check the the sequences for constant calls returned as IGHA1-2, IGHG1-4 and the light chains and manually correct them if necessary."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 5: Quantify mutations *(optional)*.\n",
    "\n",
    "In the python tutorial, at this stage, I quantified the basic mutational load with `ddl.pp.quantify_mutations` before subsequent analyses. This would not run properly within this R session due to rpy2/reticulate conflict. Instead, i'd recommend you to run this separately on the. `*_contig_dandelion.tsv` file that was generated in the previous step, by following [Shazam's tutorial](https://shazam.readthedocs.io/en/stable/vignettes/Mutation-Vignette/) on basic mutational analysis, before continuing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtering\n",
    "\n",
    "**Create a Seurat object from the transcriptome data**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first import the gene expression data. Let's try from Seurat object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Genome matrix has multiple modalities, returning a list of matrices for this genome\n",
      "\n",
      "Genome matrix has multiple modalities, returning a list of matrices for this genome\n",
      "\n",
      "Genome matrix has multiple modalities, returning a list of matrices for this genome\n",
      "\n",
      "Genome matrix has multiple modalities, returning a list of matrices for this genome\n",
      "\n"
     ]
    }
   ],
   "source": [
    "setwd(\"~/Downloads/dandelion_tutorial/\")\n",
    "library(Seurat)\n",
    "samples <- c(\"sc5p_v2_hs_PBMC_1k\", \"sc5p_v2_hs_PBMC_10k\", \"vdj_v1_hs_pbmc3\", \"vdj_nextgem_hs_pbmc3\")\n",
    "seurat_objects <- list()\n",
    "for (i in 1:length(samples)) {\n",
    "    filename <- paste0(samples[i], \"/filtered_feature_bc_matrix.h5\")\n",
    "    data <- Read10X_h5(filename)\n",
    "    seurat_objects[[i]] <- CreateSeuratObject(counts = data$`Gene Expression`)\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# merge them, there's probably better ways\n",
    "merged1 <- merge(seurat_objects[[1]], seurat_objects[[2]], add.cell.ids = samples[1:2])\n",
    "merged2 <- merge(seurat_objects[[3]], seurat_objects[[4]], add.cell.ids = samples[3:4])\n",
    "merged <- merge(merged1, merged2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 3</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>orig.ident</th><th scope=col>nCount_RNA</th><th scope=col>nFeature_RNA</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAACCTGCAGCCTGTG-1</th><td>SeuratProject</td><td>5029</td><td>1819</td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAACGGGTCGCTGATA-1</th><td>SeuratProject</td><td>4343</td><td>1738</td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAAGATGTCCTCGCAT-1</th><td>SeuratProject</td><td> 898</td><td> 554</td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAAGCAAAGTATGACA-1</th><td>SeuratProject</td><td>4999</td><td>1796</td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAAGCAATCCATTCTA-1</th><td>SeuratProject</td><td> 601</td><td> 416</td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAATGCCCACTTAAGC-1</th><td>SeuratProject</td><td>4998</td><td>1530</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 3\n",
       "\\begin{tabular}{r|lll}\n",
       "  & orig.ident & nCount\\_RNA & nFeature\\_RNA\\\\\n",
       "  & <chr> & <dbl> & <int>\\\\\n",
       "\\hline\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAACCTGCAGCCTGTG-1 & SeuratProject & 5029 & 1819\\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAACGGGTCGCTGATA-1 & SeuratProject & 4343 & 1738\\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAAGATGTCCTCGCAT-1 & SeuratProject &  898 &  554\\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAAGCAAAGTATGACA-1 & SeuratProject & 4999 & 1796\\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAAGCAATCCATTCTA-1 & SeuratProject &  601 &  416\\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAATGCCCACTTAAGC-1 & SeuratProject & 4998 & 1530\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 3\n",
       "\n",
       "| <!--/--> | orig.ident &lt;chr&gt; | nCount_RNA &lt;dbl&gt; | nFeature_RNA &lt;int&gt; |\n",
       "|---|---|---|---|\n",
       "| sc5p_v2_hs_PBMC_1k_AAACCTGCAGCCTGTG-1 | SeuratProject | 5029 | 1819 |\n",
       "| sc5p_v2_hs_PBMC_1k_AAACGGGTCGCTGATA-1 | SeuratProject | 4343 | 1738 |\n",
       "| sc5p_v2_hs_PBMC_1k_AAAGATGTCCTCGCAT-1 | SeuratProject |  898 |  554 |\n",
       "| sc5p_v2_hs_PBMC_1k_AAAGCAAAGTATGACA-1 | SeuratProject | 4999 | 1796 |\n",
       "| sc5p_v2_hs_PBMC_1k_AAAGCAATCCATTCTA-1 | SeuratProject |  601 |  416 |\n",
       "| sc5p_v2_hs_PBMC_1k_AAATGCCCACTTAAGC-1 | SeuratProject | 4998 | 1530 |\n",
       "\n"
      ],
      "text/plain": [
       "                                      orig.ident    nCount_RNA nFeature_RNA\n",
       "sc5p_v2_hs_PBMC_1k_AAACCTGCAGCCTGTG-1 SeuratProject 5029       1819        \n",
       "sc5p_v2_hs_PBMC_1k_AAACGGGTCGCTGATA-1 SeuratProject 4343       1738        \n",
       "sc5p_v2_hs_PBMC_1k_AAAGATGTCCTCGCAT-1 SeuratProject  898        554        \n",
       "sc5p_v2_hs_PBMC_1k_AAAGCAAAGTATGACA-1 SeuratProject 4999       1796        \n",
       "sc5p_v2_hs_PBMC_1k_AAAGCAATCCATTCTA-1 SeuratProject  601        416        \n",
       "sc5p_v2_hs_PBMC_1k_AAATGCCCACTTAAGC-1 SeuratProject 4998       1530        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(merged@meta.data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`dandelion` removes hyphen from the cell barcodes as a default behaviour, so we will do the same for the `Seurat` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "An object of class Seurat \n",
       "38224 features across 30471 samples within 1 assay \n",
       "Active assay: RNA (38224 features, 0 variable features)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# remove the -# from the end of each cell name\n",
    "merged <- RenameCells(merged, new.names = gsub(\"-.*\", \"\", row.names(merged@meta.data)))\n",
    "merged\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Standard Seurat pre-processing workflow</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Centering and scaling data matrix\n",
      "\n",
      "PC_ 1 \n",
      "Positive:  LYZ, S100A9, FCN1, S100A8, CST3, VCAN, MNDA, IFI30, SPI1, SERPINA1 \n",
      "\t   S100A12, CSTA, TYMP, CTSS, CD14, LST1, CYBB, FTL, MS4A6A, CSF3R \n",
      "\t   TYROBP, CD68, TNFAIP2, CFD, NCF2, CD36, CEBPD, AIF1, GRN, LILRB2 \n",
      "Negative:  IFITM1, RPS27, IL32, LTB, RPS12, RPS18, IL7R, TCF7, CD7, TRBC2 \n",
      "\t   NOSIP, RPS29, LEF1, LINC00861, ETS1, CD247, CCR7, LIME1, CD2, MAL \n",
      "\t   SELL, GZMM, TRBC1, AQP3, OXNAD1, AES, CD69, ARL4C, PIM2, TRAC \n",
      "PC_ 2 \n",
      "Positive:  MS4A1, CD79A, BANK1, LINC00926, IGHM, HLA-DQA1, FCER2, HLA-DQB1, TCL1A, CD79B \n",
      "\t   FCRLA, CD19, VPREB3, RALGPS2, CD22, HLA-DRA, FCRL1, HLA-DOB, AFF3, NIBAN3 \n",
      "\t   IGHD, POU2AF1, BLNK, BLK, HLA-DPB1, SPIB, IGKC, ADAM28, CD24, HVCN1 \n",
      "Negative:  NKG7, HCST, CST7, PRF1, GZMA, GNLY, CTSW, KLRD1, IFITM1, FGFBP2 \n",
      "\t   FCGR3A, KLRF1, SPON2, S100A4, HOPX, GZMB, SRGN, IFITM2, CCL5, CLIC3 \n",
      "\t   CD7, MATK, ITGB2, TBX21, IL2RB, CD247, KLRB1, GZMM, SH2D1B, S1PR5 \n",
      "PC_ 3 \n",
      "Positive:  NKG7, GNLY, GZMB, CST7, PRF1, KLRD1, GZMA, FCGR3A, FGFBP2, KLRF1 \n",
      "\t   SPON2, CLIC3, HOPX, SH2D1B, TBX21, CCL4, ADGRG1, S1PR5, MATK, PTGDR \n",
      "\t   MYOM2, IL2RB, TTC38, CCL5, PRSS23, GZMH, CTSW, XCL2, CXXC5, PLEK \n",
      "Negative:  TCF7, LEF1, TPT1, IL7R, VIM, RPS12, CCR7, RPL36A, MAL, NOSIP \n",
      "\t   RGS10, SNHG29, PRKCQ-AS1, TRABD2A, RPL17, EEF1G, GAS5, OXNAD1, GIMAP5, RPS4Y1 \n",
      "\t   RGCC, BCL11B, ACTN1, TRAT1, RPS29, LTB, AL138963.4, GIMAP1, PCED1B-AS1, NELL2 \n",
      "PC_ 4 \n",
      "Positive:  CAVIN2, PPBP, TUBB1, PF4, GNG11, SPARC, GP9, CLU, MPIG6B, TREML1 \n",
      "\t   PRKAR2B, NRGN, ITGA2B, CMTM5, PTGS1, MMD, MYL9, AC147651.1, TRIM58, ACRBP \n",
      "\t   MAP3K7CL, AL731557.1, DMTN, C2orf88, RGS18, CD9, TSC22D1, MTURN, THBS1, TMEM40 \n",
      "Negative:  AES, RPS12, SEPT9, RARRES3, SEPT6, JUNB, SEPT7, SEPT1, RPS18, AL138963.3 \n",
      "\t   DUSP1, KIAA1551, JUN, FOS, VIM, CD74, TPT1, S100A4, S100A10, S100A6 \n",
      "\t   HLA-DQA2, CD69, HLA-DRB5, NFKBIA, CD37, DUSP2, RPS27, RETN, HLA-DRA, ATP6V0B \n",
      "PC_ 5 \n",
      "Positive:  RPS4Y1, TLE5, EEF1G, SNHG29, GAS5, SEPTIN9, SNHG6, PCED1B-AS1, RPL17, IL2RG \n",
      "\t   PLAAT4, SEPTIN7, SEPTIN1, LINC01578, JUND, AL138963.4, TOMM6, SNHG5, CD81, SEPTIN6 \n",
      "\t   KLF2, RESF1, GIMAP5, ATP5PO, MICOS10, RPS17, RBIS, RNASEK, PRKCQ-AS1, RPL36A \n",
      "Negative:  AES, SEPT9, SEPT6, SEPT1, SEPT7, RARRES3, AL138963.3, KIAA1551, GNG11, CLU \n",
      "\t   CAVIN2, TUBB1, SPARC, PF4, PPBP, GP9, CDKN1A, JUNB, MPIG6B, TREML1 \n",
      "\t   ITGA2B, LMNA, PTGS1, CMTM5, MAP3K7CL, CD9, PRKAR2B, DUSP1, ACRBP, TRIM58 \n",
      "\n",
      "Computing nearest neighbor graph\n",
      "\n",
      "Computing SNN\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck\n",
      "\n",
      "Number of nodes: 18634\n",
      "Number of edges: 809571\n",
      "\n",
      "Running Louvain algorithm...\n",
      "Maximum modularity in 10 random starts: 0.9226\n",
      "Number of communities: 24\n",
      "Elapsed time: 2 seconds\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“The default method for RunUMAP has changed from calling Python UMAP via reticulate to the R-native UWOT using the cosine metric\n",
      "To use Python UMAP via reticulate, set umap.method to 'umap-learn' and metric to 'correlation'\n",
      "This message will be shown once per session”\n",
      "00:02:23 UMAP embedding parameters a = 0.9922 b = 1.112\n",
      "\n",
      "00:02:23 Read 18634 rows and found 50 numeric columns\n",
      "\n",
      "00:02:23 Using Annoy for neighbor search, n_neighbors = 30\n",
      "\n",
      "00:02:23 Building Annoy index with metric = cosine, n_trees = 50\n",
      "\n",
      "0%   10   20   30   40   50   60   70   80   90   100%\n",
      "\n",
      "[----|----|----|----|----|----|----|----|----|----|\n",
      "\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "*\n",
      "|\n",
      "\n",
      "00:02:25 Writing NN index file to temp file /var/folders/_r/j_8_fj3x28n2th3ch0ckn9c40000gt/T//RtmpfKS4Qx/filea8756193a1af\n",
      "\n",
      "00:02:25 Searching Annoy index using 1 thread, search_k = 3000\n",
      "\n",
      "00:02:28 Annoy recall = 100%\n",
      "\n",
      "00:02:29 Commencing smooth kNN distance calibration using 1 thread\n",
      " with target n_neighbors = 30\n",
      "\n",
      "00:02:29 Initializing from normalized Laplacian + noise (using irlba)\n",
      "\n",
      "00:02:31 Commencing optimization for 200 epochs, with 832570 positive edges\n",
      "\n",
      "00:02:36 Optimization finished\n",
      "\n"
     ]
    }
   ],
   "source": [
    "merged[[\"percent.mt\"]] <- PercentageFeatureSet(merged, pattern = \"^MT-\")\n",
    "merged <- subset(merged, subset = nFeature_RNA > 200 & nFeature_RNA < 2500 & percent.mt < 5)\n",
    "merged <- NormalizeData(merged)\n",
    "merged <- FindVariableFeatures(merged, selection.method = \"vst\", nfeatures = 2000)\n",
    "merged <- ScaleData(merged)\n",
    "merged <- RunPCA(merged, features = VariableFeatures(object = merged))\n",
    "merged <- FindNeighbors(merged, dims = 1:50)\n",
    "merged <- FindClusters(merged)\n",
    "merged <- RunUMAP(merged, dims = 1:50)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 240,
       "width": 360
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 6, repr.plot.height = 4)\n",
    "DimPlot(merged, reduction = \"umap\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "An object of class Seurat \n",
       "38224 features across 18634 samples within 1 assay \n",
       "Active assay: RNA (38224 features, 2000 variable features)\n",
       " 2 dimensional reductions calculated: pca, umap"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order for `dandelion` to do the next step (marking/filtering of poor quality BCRs and BCR doublets), we need to include a column in the metadata, `filter_rna`. This column will tell `dandelion` whether or not the cell has passed transcriptomic QCs. So, we will set the column to `FALSE` i.e. every cell passed QC. This is important because we want to remove as many doublets and poor quality contigs to save time on computation and construction of the final data tables."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Convert to AnnData</b>\n",
    "\n",
    "We will need to convert the `Seurat` object to `AnnData` to be able to continue.\n",
    "`AnnData` `.obs` slot is essentially the same as `@meta.data` in seurat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "library(reticulate)\n",
    "sc <- import(\"scanpy\")\n",
    "# convert the meta.data slot to a python friendly object\n",
    "obs <- r_to_py(merged@meta.data)\n",
    "normcounts <- r_to_py(Matrix::t(GetAssayData(merged)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 18634 × 38224\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'percent.mt', 'RNA_snn_res.0.8', 'seurat_clusters'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "adata <- sc$AnnData(X = normcounts, obs = obs)\n",
    "adata\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Read in the BCR files and merge them</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[1mRows: \u001b[22m\u001b[34m183\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m120\u001b[39m\n",
      "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
      "\u001b[31mchr\u001b[39m (54): sequence_id, sequence, v_call, d_call, j_call, sequence_alignment,...\n",
      "\u001b[32mdbl\u001b[39m (60): junction_length, np1_length, np2_length, v_sequence_start, v_seque...\n",
      "\u001b[33mlgl\u001b[39m  (6): rev_comp, productive, stop_codon, vj_in_frame, j_source, complete_vdj\n",
      "\n",
      "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
      "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
      "\u001b[1mRows: \u001b[22m\u001b[34m2392\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m120\u001b[39m\n",
      "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
      "\u001b[31mchr\u001b[39m (54): sequence_id, sequence, v_call, d_call, j_call, sequence_alignment,...\n",
      "\u001b[32mdbl\u001b[39m (60): junction_length, np1_length, np2_length, v_sequence_start, v_seque...\n",
      "\u001b[33mlgl\u001b[39m  (6): rev_comp, productive, stop_codon, vj_in_frame, j_source, complete_vdj\n",
      "\n",
      "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
      "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
      "\u001b[1mRows: \u001b[22m\u001b[34m1827\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m120\u001b[39m\n",
      "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
      "\u001b[31mchr\u001b[39m (57): sequence_id, sequence, v_call, d_call, j_call, sequence_alignment,...\n",
      "\u001b[32mdbl\u001b[39m (57): junction_length, np1_length, np2_length, v_sequence_start, v_seque...\n",
      "\u001b[33mlgl\u001b[39m  (6): rev_comp, productive, stop_codon, vj_in_frame, j_source, complete_vdj\n",
      "\n",
      "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
      "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n",
      "\u001b[1mRows: \u001b[22m\u001b[34m2955\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m120\u001b[39m\n",
      "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "\u001b[1mDelimiter:\u001b[22m \"\\t\"\n",
      "\u001b[31mchr\u001b[39m (57): sequence_id, sequence, v_call, d_call, j_call, sequence_alignment,...\n",
      "\u001b[32mdbl\u001b[39m (57): junction_length, np1_length, np2_length, v_sequence_start, v_seque...\n",
      "\u001b[33mlgl\u001b[39m  (6): rev_comp, productive, stop_codon, vj_in_frame, j_source, complete_vdj\n",
      "\n",
      "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
      "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 6 × 120</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>sequence_id</th><th scope=col>sequence</th><th scope=col>rev_comp</th><th scope=col>productive</th><th scope=col>v_call</th><th scope=col>d_call</th><th scope=col>j_call</th><th scope=col>sequence_alignment</th><th scope=col>germline_alignment</th><th scope=col>junction</th><th scope=col>⋯</th><th scope=col>v_sequence_alignment_aa</th><th scope=col>d_sequence_alignment_aa</th><th scope=col>j_sequence_alignment_aa</th><th scope=col>complete_vdj</th><th scope=col>j_call_multimappers</th><th scope=col>j_call_multiplicity</th><th scope=col>j_call_sequence_start_multimappers</th><th scope=col>j_call_sequence_end_multimappers</th><th scope=col>j_call_support_multimappers</th><th scope=col>mu_count</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>⋯</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_1</td><td>ACTGCGGGGGTAAGAGGTTGTGTCCACCATGGCCTGGACTCCTCTCCTCCTCCTGTTCCTCTCTCACTGCACAGGTTCCCTCTCGCAGGCTGTGCTGACTCAGCCGTCTTCCCTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTTGGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGACTCAGATAAGCAGCAGGGCTCTGGAGTCCCCAGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                              </td><td>FALSE</td><td> TRUE</td><td>IGLV5-45*03</td><td>NA         </td><td>IGLJ3*02</td><td>CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                          </td><td>CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                          </td><td>TGTATGATTTGGCACAGCAGCGCTTGGGTGTTC                        </td><td>⋯</td><td>QAVLTQPSSLSASPGASASLTCTLRSGINVGTYRIYWYQQKPGSPPQYLLRYKSDSDKQQGSGVPSRFSGSKDASANAGILLISGLQSEDEADYYCMIWHSSA</td><td>NA     </td><td>VFGGGTKLTVL      </td><td>NA</td><td>IGLJ3*01</td><td>1</td><td>397</td><td>431</td><td>4.91e-13</td><td>0</td></tr>\n",
       "\t<tr><td>sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_2</td><td>ATACTTTCTGAGAGTCCTGGACCTCCTGTGCAAGAACATGAAACATCTGTGGTTCTTCCTCCTCCTGGTGGCAGCTCCCAGATGGGTCCTGTCCCAGGTGCAGCTGCAGGAGTCGGGCCCAGGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGCAGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGTGGGAGCACCAACTACAACCCCTCCCTCAAGAGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                                                                   </td><td>FALSE</td><td> TRUE</td><td>IGHV4-61*02</td><td>IGHD3-3*01 </td><td>IGHJ6*02</td><td>CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA</td><td>CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGANNATTACGATTTTTGGAGTGGTTATTACTACGGTATGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA</td><td>TGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGG</td><td>⋯</td><td>QVQLQESGPGLVKPSQTLSLTCTVSGGSISSGSYYWSWIRQPAGKGLEWIGRIYTSGSTNYNPSLKSRVTISVDTSKNQFSLKLSSVTAADTAVYYCAR    </td><td>YDFWSGY</td><td>YHGADVWGQGTTVTVSS</td><td>NA</td><td>IGHJ6*02</td><td>1</td><td>416</td><td>469</td><td>1.14e-18</td><td>3</td></tr>\n",
       "\t<tr><td>sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_3</td><td>GGCTGGGGTCTCAGGAGGCAGCGCTCTGGGGACGTCTCCACCATGGCCTGGGCTCTGCTCCTCCTCACCTCCTCACTCAGGGCACAGGCTCTTGGGCCCAGTCTGCCCTGATTCAGCCTCCCTCCGTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGGAGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTCAATACTCAGCCCTCAGGGGTCCCTGATCGTTTCTCTGGCTCCAAGTCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                            </td><td>FALSE</td><td>FALSE</td><td>IGLV2-5*01 </td><td>NA         </td><td>IGLJ3*02</td><td>CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                   </td><td>CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTNNTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                   </td><td>TGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTC                 </td><td>⋯</td><td>QSALIQPPSVSGSPGQSVTISCTGTSSDVGSYDYVSWYQQHPGTVPKPMIYNVNTQPSGVPDRFSGSKSGNTASMTISGLQAEDEADY*CCSYTSSAT     </td><td>NA     </td><td>LGVRRRDQADRP     </td><td>NA</td><td>IGLJ3*02</td><td>1</td><td>396</td><td>433</td><td>2.28e-16</td><td>0</td></tr>\n",
       "\t<tr><td>sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_2</td><td>AGCTCTGAGAGAGGAGCCTTAGCCCTGGATTCCAAGGCCTATCCACTTGGTGATCAGCACTGAGCACCGAGGATTCACCATGGAACTGGGGCTCCGCTGGGTTTTCCTTGTTGCTATTTTAGAAGGTGTCCAGTGTGAGGTGCAGCTGGTGGAGTCTGGGGGAGGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTCAGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGTAGTAGTTACATATACTACGCAGACTCAGTGAAGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                               </td><td>FALSE</td><td> TRUE</td><td>IGHV3-21*01</td><td>IGHD3-22*01</td><td>IGHJ4*02</td><td>GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG  </td><td>GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGANNTTACTATGATAGTAGTGGTTATTNNNNNNACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG  </td><td>TGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGG   </td><td>⋯</td><td>EVQLVESGGGLVKPGGSLRLSCAASGFTFSSYSMNWVRQAPGKGLEWVSSISSSSSYIYYADSVKGRFTISRDNAKNSLYLQMNSLRAEDTAVYYCAR     </td><td>YYDSSGY</td><td>FDYWGQGTLVTVSS   </td><td>NA</td><td>IGHJ4*02</td><td>1</td><td>462</td><td>506</td><td>2.61e-20</td><td>0</td></tr>\n",
       "\t<tr><td>sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_1</td><td>AGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAGGTCAGCCCAAGGCCAACCCCACTGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTCCAAGCCAACAAGGCCACACTAGTGTGTCTGATCAGTGACTTCTACCCGGGAGCTGTGACAGTGGCCTGGAAGGCAGATGGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCAAACCCTCCAAACAGAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                                             </td><td>FALSE</td><td> TRUE</td><td>IGLV4-69*01</td><td>NA         </td><td>IGLJ1*01</td><td>CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                          </td><td>CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                          </td><td>TGTCAGACCTGGGGCACTGGCATTTATGTCTTC                        </td><td>⋯</td><td>QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI    </td><td>NA     </td><td>YVFGTGTKVTVL     </td><td>NA</td><td>IGLJ1*01</td><td>1</td><td>379</td><td>416</td><td>2.22e-16</td><td>0</td></tr>\n",
       "\t<tr><td>sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_3</td><td>AGCAGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGTCAGGATGGCCCTCAGCACCCTGACCTCCAGCTCACTGATACCACCTCCCAAACTTATGCCAGGAATGTCCTTCCCTCTTTTCTTGACTCCAGCCGGTAATGGGTGTCTGTGTTTTCAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA</td><td>FALSE</td><td>FALSE</td><td>IGLV4-69*01</td><td>NA         </td><td>IGLJ3*02</td><td>CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                        </td><td>CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                        </td><td>TGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTC                      </td><td>⋯</td><td>QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI    </td><td>NA     </td><td>GCSAEGPS*PS*     </td><td>NA</td><td>IGLJ3*02</td><td>1</td><td>504</td><td>541</td><td>2.67e-16</td><td>0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 120\n",
       "\\begin{tabular}{lllllllllllllllllllll}\n",
       " sequence\\_id & sequence & rev\\_comp & productive & v\\_call & d\\_call & j\\_call & sequence\\_alignment & germline\\_alignment & junction & ⋯ & v\\_sequence\\_alignment\\_aa & d\\_sequence\\_alignment\\_aa & j\\_sequence\\_alignment\\_aa & complete\\_vdj & j\\_call\\_multimappers & j\\_call\\_multiplicity & j\\_call\\_sequence\\_start\\_multimappers & j\\_call\\_sequence\\_end\\_multimappers & j\\_call\\_support\\_multimappers & mu\\_count\\\\\n",
       " <chr> & <chr> & <lgl> & <lgl> & <chr> & <chr> & <chr> & <chr> & <chr> & <chr> & ⋯ & <chr> & <chr> & <chr> & <lgl> & <chr> & <dbl> & <chr> & <chr> & <chr> & <dbl>\\\\\n",
       "\\hline\n",
       "\t sc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACTCCCAGGCTAGGT\\_contig\\_1 & ACTGCGGGGGTAAGAGGTTGTGTCCACCATGGCCTGGACTCCTCTCCTCCTCCTGTTCCTCTCTCACTGCACAGGTTCCCTCTCGCAGGCTGTGCTGACTCAGCCGTCTTCCCTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTTGGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGACTCAGATAAGCAGCAGGGCTCTGGAGTCCCCAGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                               & FALSE &  TRUE & IGLV5-45*03 & NA          & IGLJ3*02 & CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                           & CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                           & TGTATGATTTGGCACAGCAGCGCTTGGGTGTTC                         & ⋯ & QAVLTQPSSLSASPGASASLTCTLRSGINVGTYRIYWYQQKPGSPPQYLLRYKSDSDKQQGSGVPSRFSGSKDASANAGILLISGLQSEDEADYYCMIWHSSA & NA      & VFGGGTKLTVL       & NA & IGLJ3*01 & 1 & 397 & 431 & 4.91e-13 & 0\\\\\n",
       "\t sc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACTCCCAGGCTAGGT\\_contig\\_2 & ATACTTTCTGAGAGTCCTGGACCTCCTGTGCAAGAACATGAAACATCTGTGGTTCTTCCTCCTCCTGGTGGCAGCTCCCAGATGGGTCCTGTCCCAGGTGCAGCTGCAGGAGTCGGGCCCAGGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGCAGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGTGGGAGCACCAACTACAACCCCTCCCTCAAGAGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                                                                    & FALSE &  TRUE & IGHV4-61*02 & IGHD3-3*01  & IGHJ6*02 & CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA & CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGANNATTACGATTTTTGGAGTGGTTATTACTACGGTATGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA & TGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGG & ⋯ & QVQLQESGPGLVKPSQTLSLTCTVSGGSISSGSYYWSWIRQPAGKGLEWIGRIYTSGSTNYNPSLKSRVTISVDTSKNQFSLKLSSVTAADTAVYYCAR     & YDFWSGY & YHGADVWGQGTTVTVSS & NA & IGHJ6*02 & 1 & 416 & 469 & 1.14e-18 & 3\\\\\n",
       "\t sc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACTCCCAGGCTAGGT\\_contig\\_3 & GGCTGGGGTCTCAGGAGGCAGCGCTCTGGGGACGTCTCCACCATGGCCTGGGCTCTGCTCCTCCTCACCTCCTCACTCAGGGCACAGGCTCTTGGGCCCAGTCTGCCCTGATTCAGCCTCCCTCCGTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGGAGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTCAATACTCAGCCCTCAGGGGTCCCTGATCGTTTCTCTGGCTCCAAGTCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                             & FALSE & FALSE & IGLV2-5*01  & NA          & IGLJ3*02 & CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                    & CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTNNTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                    & TGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTC                  & ⋯ & QSALIQPPSVSGSPGQSVTISCTGTSSDVGSYDYVSWYQQHPGTVPKPMIYNVNTQPSGVPDRFSGSKSGNTASMTISGLQAEDEADY*CCSYTSSAT      & NA      & LGVRRRDQADRP      & NA & IGLJ3*02 & 1 & 396 & 433 & 2.28e-16 & 0\\\\\n",
       "\t sc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACTCTTGTCATCGGC\\_contig\\_2 & AGCTCTGAGAGAGGAGCCTTAGCCCTGGATTCCAAGGCCTATCCACTTGGTGATCAGCACTGAGCACCGAGGATTCACCATGGAACTGGGGCTCCGCTGGGTTTTCCTTGTTGCTATTTTAGAAGGTGTCCAGTGTGAGGTGCAGCTGGTGGAGTCTGGGGGAGGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTCAGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGTAGTAGTTACATATACTACGCAGACTCAGTGAAGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                                & FALSE &  TRUE & IGHV3-21*01 & IGHD3-22*01 & IGHJ4*02 & GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG   & GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGANNTTACTATGATAGTAGTGGTTATTNNNNNNACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG   & TGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGG    & ⋯ & EVQLVESGGGLVKPGGSLRLSCAASGFTFSSYSMNWVRQAPGKGLEWVSSISSSSSYIYYADSVKGRFTISRDNAKNSLYLQMNSLRAEDTAVYYCAR      & YYDSSGY & FDYWGQGTLVTVSS    & NA & IGHJ4*02 & 1 & 462 & 506 & 2.61e-20 & 0\\\\\n",
       "\t sc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACTCTTGTCATCGGC\\_contig\\_1 & AGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAGGTCAGCCCAAGGCCAACCCCACTGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTCCAAGCCAACAAGGCCACACTAGTGTGTCTGATCAGTGACTTCTACCCGGGAGCTGTGACAGTGGCCTGGAAGGCAGATGGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCAAACCCTCCAAACAGAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                                              & FALSE &  TRUE & IGLV4-69*01 & NA          & IGLJ1*01 & CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                           & CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                           & TGTCAGACCTGGGGCACTGGCATTTATGTCTTC                         & ⋯ & QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI     & NA      & YVFGTGTKVTVL      & NA & IGLJ1*01 & 1 & 379 & 416 & 2.22e-16 & 0\\\\\n",
       "\t sc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACTCTTGTCATCGGC\\_contig\\_3 & AGCAGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGTCAGGATGGCCCTCAGCACCCTGACCTCCAGCTCACTGATACCACCTCCCAAACTTATGCCAGGAATGTCCTTCCCTCTTTTCTTGACTCCAGCCGGTAATGGGTGTCTGTGTTTTCAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA & FALSE & FALSE & IGLV4-69*01 & NA          & IGLJ3*02 & CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                         & CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                         & TGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTC                       & ⋯ & QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI     & NA      & GCSAEGPS*PS*      & NA & IGLJ3*02 & 1 & 504 & 541 & 2.67e-16 & 0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 120\n",
       "\n",
       "| sequence_id &lt;chr&gt; | sequence &lt;chr&gt; | rev_comp &lt;lgl&gt; | productive &lt;lgl&gt; | v_call &lt;chr&gt; | d_call &lt;chr&gt; | j_call &lt;chr&gt; | sequence_alignment &lt;chr&gt; | germline_alignment &lt;chr&gt; | junction &lt;chr&gt; | ⋯ ⋯ | v_sequence_alignment_aa &lt;chr&gt; | d_sequence_alignment_aa &lt;chr&gt; | j_sequence_alignment_aa &lt;chr&gt; | complete_vdj &lt;lgl&gt; | j_call_multimappers &lt;chr&gt; | j_call_multiplicity &lt;dbl&gt; | j_call_sequence_start_multimappers &lt;chr&gt; | j_call_sequence_end_multimappers &lt;chr&gt; | j_call_support_multimappers &lt;chr&gt; | mu_count &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_1 | ACTGCGGGGGTAAGAGGTTGTGTCCACCATGGCCTGGACTCCTCTCCTCCTCCTGTTCCTCTCTCACTGCACAGGTTCCCTCTCGCAGGCTGTGCTGACTCAGCCGTCTTCCCTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTTGGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGACTCAGATAAGCAGCAGGGCTCTGGAGTCCCCAGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                               | FALSE |  TRUE | IGLV5-45*03 | NA          | IGLJ3*02 | CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                           | CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                           | TGTATGATTTGGCACAGCAGCGCTTGGGTGTTC                         | ⋯ | QAVLTQPSSLSASPGASASLTCTLRSGINVGTYRIYWYQQKPGSPPQYLLRYKSDSDKQQGSGVPSRFSGSKDASANAGILLISGLQSEDEADYYCMIWHSSA | NA      | VFGGGTKLTVL       | NA | IGLJ3*01 | 1 | 397 | 431 | 4.91e-13 | 0 |\n",
       "| sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_2 | ATACTTTCTGAGAGTCCTGGACCTCCTGTGCAAGAACATGAAACATCTGTGGTTCTTCCTCCTCCTGGTGGCAGCTCCCAGATGGGTCCTGTCCCAGGTGCAGCTGCAGGAGTCGGGCCCAGGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGCAGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGTGGGAGCACCAACTACAACCCCTCCCTCAAGAGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                                                                    | FALSE |  TRUE | IGHV4-61*02 | IGHD3-3*01  | IGHJ6*02 | CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA | CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGANNATTACGATTTTTGGAGTGGTTATTACTACGGTATGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA | TGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGG | ⋯ | QVQLQESGPGLVKPSQTLSLTCTVSGGSISSGSYYWSWIRQPAGKGLEWIGRIYTSGSTNYNPSLKSRVTISVDTSKNQFSLKLSSVTAADTAVYYCAR     | YDFWSGY | YHGADVWGQGTTVTVSS | NA | IGHJ6*02 | 1 | 416 | 469 | 1.14e-18 | 3 |\n",
       "| sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_3 | GGCTGGGGTCTCAGGAGGCAGCGCTCTGGGGACGTCTCCACCATGGCCTGGGCTCTGCTCCTCCTCACCTCCTCACTCAGGGCACAGGCTCTTGGGCCCAGTCTGCCCTGATTCAGCCTCCCTCCGTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGGAGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTCAATACTCAGCCCTCAGGGGTCCCTGATCGTTTCTCTGGCTCCAAGTCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                             | FALSE | FALSE | IGLV2-5*01  | NA          | IGLJ3*02 | CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                    | CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTNNTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                    | TGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTC                  | ⋯ | QSALIQPPSVSGSPGQSVTISCTGTSSDVGSYDYVSWYQQHPGTVPKPMIYNVNTQPSGVPDRFSGSKSGNTASMTISGLQAEDEADY*CCSYTSSAT      | NA      | LGVRRRDQADRP      | NA | IGLJ3*02 | 1 | 396 | 433 | 2.28e-16 | 0 |\n",
       "| sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_2 | AGCTCTGAGAGAGGAGCCTTAGCCCTGGATTCCAAGGCCTATCCACTTGGTGATCAGCACTGAGCACCGAGGATTCACCATGGAACTGGGGCTCCGCTGGGTTTTCCTTGTTGCTATTTTAGAAGGTGTCCAGTGTGAGGTGCAGCTGGTGGAGTCTGGGGGAGGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTCAGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGTAGTAGTTACATATACTACGCAGACTCAGTGAAGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                                | FALSE |  TRUE | IGHV3-21*01 | IGHD3-22*01 | IGHJ4*02 | GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG   | GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGANNTTACTATGATAGTAGTGGTTATTNNNNNNACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG   | TGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGG    | ⋯ | EVQLVESGGGLVKPGGSLRLSCAASGFTFSSYSMNWVRQAPGKGLEWVSSISSSSSYIYYADSVKGRFTISRDNAKNSLYLQMNSLRAEDTAVYYCAR      | YYDSSGY | FDYWGQGTLVTVSS    | NA | IGHJ4*02 | 1 | 462 | 506 | 2.61e-20 | 0 |\n",
       "| sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_1 | AGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAGGTCAGCCCAAGGCCAACCCCACTGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTCCAAGCCAACAAGGCCACACTAGTGTGTCTGATCAGTGACTTCTACCCGGGAGCTGTGACAGTGGCCTGGAAGGCAGATGGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCAAACCCTCCAAACAGAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                                              | FALSE |  TRUE | IGLV4-69*01 | NA          | IGLJ1*01 | CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                           | CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                           | TGTCAGACCTGGGGCACTGGCATTTATGTCTTC                         | ⋯ | QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI     | NA      | YVFGTGTKVTVL      | NA | IGLJ1*01 | 1 | 379 | 416 | 2.22e-16 | 0 |\n",
       "| sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_3 | AGCAGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGTCAGGATGGCCCTCAGCACCCTGACCTCCAGCTCACTGATACCACCTCCCAAACTTATGCCAGGAATGTCCTTCCCTCTTTTCTTGACTCCAGCCGGTAATGGGTGTCTGTGTTTTCAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA | FALSE | FALSE | IGLV4-69*01 | NA          | IGLJ3*02 | CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                         | CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                         | TGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTC                       | ⋯ | QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI     | NA      | GCSAEGPS*PS*      | NA | IGLJ3*02 | 1 | 504 | 541 | 2.67e-16 | 0 |\n",
       "\n"
      ],
      "text/plain": [
       "  sequence_id                                 \n",
       "1 sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_1\n",
       "2 sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_2\n",
       "3 sc5p_v2_hs_PBMC_1k_AACTCCCAGGCTAGGT_contig_3\n",
       "4 sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_2\n",
       "5 sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_1\n",
       "6 sc5p_v2_hs_PBMC_1k_AACTCTTGTCATCGGC_contig_3\n",
       "  sequence                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        \n",
       "1 ACTGCGGGGGTAAGAGGTTGTGTCCACCATGGCCTGGACTCCTCTCCTCCTCCTGTTCCTCTCTCACTGCACAGGTTCCCTCTCGCAGGCTGTGCTGACTCAGCCGTCTTCCCTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTTGGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGACTCAGATAAGCAGCAGGGCTCTGGAGTCCCCAGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                              \n",
       "2 ATACTTTCTGAGAGTCCTGGACCTCCTGTGCAAGAACATGAAACATCTGTGGTTCTTCCTCCTCCTGGTGGCAGCTCCCAGATGGGTCCTGTCCCAGGTGCAGCTGCAGGAGTCGGGCCCAGGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGCAGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGTGGGAGCACCAACTACAACCCCTCCCTCAAGAGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                                                                   \n",
       "3 GGCTGGGGTCTCAGGAGGCAGCGCTCTGGGGACGTCTCCACCATGGCCTGGGCTCTGCTCCTCCTCACCTCCTCACTCAGGGCACAGGCTCTTGGGCCCAGTCTGCCCTGATTCAGCCTCCCTCCGTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGGAGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTCAATACTCAGCCCTCAGGGGTCCCTGATCGTTTCTCTGGCTCCAAGTCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                            \n",
       "4 AGCTCTGAGAGAGGAGCCTTAGCCCTGGATTCCAAGGCCTATCCACTTGGTGATCAGCACTGAGCACCGAGGATTCACCATGGAACTGGGGCTCCGCTGGGTTTTCCTTGTTGCTATTTTAGAAGGTGTCCAGTGTGAGGTGCAGCTGGTGGAGTCTGGGGGAGGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTCAGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGTAGTAGTTACATATACTACGCAGACTCAGTGAAGGGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAGGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTCCCCGTCGGATACGAGCAGCGTG                                                                                                                                                                               \n",
       "5 AGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAGGTCAGCCCAAGGCCAACCCCACTGTCACTCTGTTCCCGCCCTCCTCTGAGGAGCTCCAAGCCAACAAGGCCACACTAGTGTGTCTGATCAGTGACTTCTACCCGGGAGCTGTGACAGTGGCCTGGAAGGCAGATGGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCAAACCCTCCAAACAGAGCAACAACAAGTACGCGGCCAGCAGCTA                                                                                                                             \n",
       "6 AGCAGAGCTCTGGGGAGTCTGCACCATGGCTTGGACCCCACTCCTCTTCCTCACCCTCCTCCTCCACTGCACAGGTCAGGATGGCCCTCAGCACCCTGACCTCCAGCTCACTGATACCACCTCCCAAACTTATGCCAGGAATGTCCTTCCCTCTTTTCTTGACTCCAGCCGGTAATGGGTGTCTGTGTTTTCAGGGTCTCTCTCCCAGCTTGTGCTGACTCAATCGCCCTCTGCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGCAGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGATGGCAGCCACAGCAAGGGGGACGGGATCCCTGATCGCTTCTCAGGCTCCAGCTCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAGGTCAGCCCAAGGCTGCCCCCTCGGTCACTCTGTTCCCACCCTCCTCTGAGGAGCTTCAAGCCAACAAGGCCACACTGGTGTGTCTCATAAGTGACTTCTACCCGGGAGCCGTGACAGTGGCCTGGAAGGCAGATAGCAGCCCCGTCAAGGCGGGAGTGGAGACCACCACACCCTCCAAACAAAGCAACAACAAGTACGCGGCCAGCAGCTA\n",
       "  rev_comp productive v_call      d_call      j_call  \n",
       "1 FALSE     TRUE      IGLV5-45*03 NA          IGLJ3*02\n",
       "2 FALSE     TRUE      IGHV4-61*02 IGHD3-3*01  IGHJ6*02\n",
       "3 FALSE    FALSE      IGLV2-5*01  NA          IGLJ3*02\n",
       "4 FALSE     TRUE      IGHV3-21*01 IGHD3-22*01 IGHJ4*02\n",
       "5 FALSE     TRUE      IGLV4-69*01 NA          IGLJ1*01\n",
       "6 FALSE    FALSE      IGLV4-69*01 NA          IGLJ3*02\n",
       "  sequence_alignment                                                                                                                                                                                                                                                                                                                                                                                          \n",
       "1 CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                          \n",
       "2 CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA\n",
       "3 CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                   \n",
       "4 GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG  \n",
       "5 CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                          \n",
       "6 CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                        \n",
       "  germline_alignment                                                                                                                                                                                                                                                                                                                                                                                          \n",
       "1 CAGGCTGTGCTGACTCAGCCGTCTTCC...CTCTCTGCATCTCCTGGAGCATCAGCCAGTCTCACCTGCACCTTGCGCAGTGGCATCAATGTT.........GGTACCTACAGGATATACTGGTACCAGCAGAAGCCAGGGAGTCCTCCCCAGTATCTCCTGAGGTACAAATCAGAC.........TCAGATAAGCAGCAGGGCTCTGGAGTCCCC...AGCCGCTTCTCTGGATCCAAAGATGCTTCGGCCAATGCAGGGATTTTACTCATCTCTGGGCTCCAGTCTGAGGATGAGGCTGACTATTACTGTATGATTTGGCACAGCAGCGCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                          \n",
       "2 CAGGTGCAGCTGCAGGAGTCGGGCCCA...GGACTGGTGAAGCCTTCACAGACCCTGTCCCTCACCTGCACTGTCTCTGGTGGCTCCATCAGC......AGTGGTAGTTACTACTGGAGCTGGATCCGGCAGCCCGCCGGGAAGGGACTGGAGTGGATTGGGCGTATCTATACCAGT.........GGGAGCACCAACTACAACCCCTCCCTCAAG...AGTCGAGTCACCATATCAGTAGACACGTCCAAGAACCAGTTCTCCCTGAAGCTGAGCTCTGTGACCGCCGCAGACACGGCCGTGTATTACTGTGCGAGAGANNATTACGATTTTTGGAGTGGTTATTACTACGGTATGGACGTCTGGGGCCAAGGGACCACGGTCACCGTCTCCTCA\n",
       "3 CAGTCTGCCCTGATTCAGCCTCCCTCC...GTGTCCGGGTCTCCTGGACAGTCAGTCACCATCTCCTGCACTGGAACCAGCAGTGATGTTGGG.........AGTTATGACTATGTCTCCTGGTACCAACAGCACCCAGGCACAGTCCCCAAACCCATGATCTACAATGTC.....................AATACTCAGCCCTCAGGGGTCCCT...GATCGTTTCTCTGGCTCCAAG......TCTGGCAATACGGCCTCCATGACCATCTCTGGACTCCAGGCTGAGGACGAGGCTGATTATTAGTGCTGCTCATATACAAGCAGTGCCACTTNNTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                   \n",
       "4 GAGGTGCAGCTGGTGGAGTCTGGGGGA...GGCCTGGTCAAGCCTGGGGGGTCCCTGAGACTCTCCTGTGCAGCCTCTGGATTCACCTTC............AGTAGCTATAGCATGAACTGGGTCCGCCAGGCTCCAGGGAAGGGGCTGGAGTGGGTCTCATCCATTAGTAGTAGT......AGTAGTTACATATACTACGCAGACTCAGTGAAG...GGCCGATTCACCATCTCCAGAGACAACGCCAAGAACTCACTGTATCTGCAAATGAACAGCCTGAGAGCCGAGGACACGGCTGTGTATTACTGTGCGAGANNTTACTATGATAGTAGTGGTTATTNNNNNNACTTTGACTACTGGGGCCAGGGAACCCTGGTCACCGTCTCCTCAG  \n",
       "5 CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTTATGTCTTCGGAACTGGGACCAAGGTCACCGTCCTAG                          \n",
       "6 CAGCTTGTGCTGACTCAATCGCCCTCT...GCCTCTGCCTCCCTGGGAGCCTCGGTCAAGCTCACCTGCACTCTGAGCAGTGGGCACAGC...............AGCTACGCCATCGCATGGCATCAGCAGCAGCCAGAGAAGGGCCCTCGGTACTTGATGAAGCTTAACAGTGAT.........GGCAGCCACAGCAAGGGGGACGGGATCCCT...GATCGCTTCTCAGGCTCCAGC......TCTGGGGCTGAGCGCTACCTCACCATCTCCAGCCTCCAGTCTGAGGATGAGGCTGACTATTACTGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTCGGCGGAGGGACCAAGCTGACCGTCCTAG                        \n",
       "  junction                                                  ⋯\n",
       "1 TGTATGATTTGGCACAGCAGCGCTTGGGTGTTC                         ⋯\n",
       "2 TGTGCGAGAGAAAATTACGATTTTTGGAGTGGTTATTACCACGGTGCGGACGTCTGG ⋯\n",
       "3 TGCTGCTCATATACAAGCAGTGCCACTTTCTTGGGTGTTC                  ⋯\n",
       "4 TGTGCGAGACGTTACTATGATAGTAGTGGTTATTCCGCAAACTTTGACTACTGG    ⋯\n",
       "5 TGTCAGACCTGGGGCACTGGCATTTATGTCTTC                         ⋯\n",
       "6 TGTCAGACCTGGGGCACTGGCATTCTTGGGTGTTC                       ⋯\n",
       "  v_sequence_alignment_aa                                                                                \n",
       "1 QAVLTQPSSLSASPGASASLTCTLRSGINVGTYRIYWYQQKPGSPPQYLLRYKSDSDKQQGSGVPSRFSGSKDASANAGILLISGLQSEDEADYYCMIWHSSA\n",
       "2 QVQLQESGPGLVKPSQTLSLTCTVSGGSISSGSYYWSWIRQPAGKGLEWIGRIYTSGSTNYNPSLKSRVTISVDTSKNQFSLKLSSVTAADTAVYYCAR    \n",
       "3 QSALIQPPSVSGSPGQSVTISCTGTSSDVGSYDYVSWYQQHPGTVPKPMIYNVNTQPSGVPDRFSGSKSGNTASMTISGLQAEDEADY*CCSYTSSAT     \n",
       "4 EVQLVESGGGLVKPGGSLRLSCAASGFTFSSYSMNWVRQAPGKGLEWVSSISSSSSYIYYADSVKGRFTISRDNAKNSLYLQMNSLRAEDTAVYYCAR     \n",
       "5 QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI    \n",
       "6 QLVLTQSPSASASLGASVKLTCTLSSGHSSYAIAWHQQQPEKGPRYLMKLNSDGSHSKGDGIPDRFSGSSSGAERYLTISSLQSEDEADYYCQTWGTGI    \n",
       "  d_sequence_alignment_aa j_sequence_alignment_aa complete_vdj\n",
       "1 NA                      VFGGGTKLTVL             NA          \n",
       "2 YDFWSGY                 YHGADVWGQGTTVTVSS       NA          \n",
       "3 NA                      LGVRRRDQADRP            NA          \n",
       "4 YYDSSGY                 FDYWGQGTLVTVSS          NA          \n",
       "5 NA                      YVFGTGTKVTVL            NA          \n",
       "6 NA                      GCSAEGPS*PS*            NA          \n",
       "  j_call_multimappers j_call_multiplicity j_call_sequence_start_multimappers\n",
       "1 IGLJ3*01            1                   397                               \n",
       "2 IGHJ6*02            1                   416                               \n",
       "3 IGLJ3*02            1                   396                               \n",
       "4 IGHJ4*02            1                   462                               \n",
       "5 IGLJ1*01            1                   379                               \n",
       "6 IGLJ3*02            1                   504                               \n",
       "  j_call_sequence_end_multimappers j_call_support_multimappers mu_count\n",
       "1 431                              4.91e-13                    0       \n",
       "2 469                              1.14e-18                    3       \n",
       "3 433                              2.28e-16                    0       \n",
       "4 506                              2.61e-20                    0       \n",
       "5 416                              2.22e-16                    0       \n",
       "6 541                              2.67e-16                    0       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "files <- list()\n",
    "for (i in 1:length(samples)) {\n",
    "    filename <- paste0(samples[i], \"/dandelion/filtered_contig_dandelion.tsv\")\n",
    "    files[[i]] <- readr::read_tsv(filename)\n",
    "}\n",
    "combined_bcr <- do.call(rbind, files)\n",
    "head(combined_bcr)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run `ddl$pp$filter_contigs`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[1]]\n",
       "Dandelion class object with n_obs = 812 and n_contigs = 1657\n",
       "    data: 'sequence_id', 'sequence', 'rev_comp', 'productive', 'v_call', 'd_call', 'j_call', 'sequence_alignment', 'germline_alignment', 'junction', 'junction_aa', 'v_cigar', 'd_cigar', 'j_cigar', 'stop_codon', 'vj_in_frame', 'locus', 'c_call', 'junction_length', 'np1_length', 'np2_length', 'v_sequence_start', 'v_sequence_end', 'v_germline_start', 'v_germline_end', 'd_sequence_start', 'd_sequence_end', 'd_germline_start', 'd_germline_end', 'j_sequence_start', 'j_sequence_end', 'j_germline_start', 'j_germline_end', 'v_score', 'v_identity', 'v_support', 'd_score', 'd_identity', 'd_support', 'j_score', 'j_identity', 'j_support', 'fwr1', 'fwr2', 'fwr3', 'fwr4', 'cdr1', 'cdr2', 'cdr3', 'cell_id', 'consensus_count', 'duplicate_count', 'v_call_10x', 'd_call_10x', 'j_call_10x', 'junction_10x', 'junction_10x_aa', 'j_support_igblastn', 'j_score_igblastn', 'j_call_igblastn', 'j_call_blastn', 'j_identity_blastn', 'j_alignment_length_blastn', 'j_number_of_mismatches_blastn', 'j_number_of_gap_openings_blastn', 'j_sequence_start_blastn', 'j_sequence_end_blastn', 'j_germline_start_blastn', 'j_germline_end_blastn', 'j_support_blastn', 'j_score_blastn', 'j_sequence_alignment_blastn', 'j_germline_alignment_blastn', 'j_source', 'd_support_igblastn', 'd_score_igblastn', 'd_call_igblastn', 'd_call_blastn', 'd_identity_blastn', 'd_alignment_length_blastn', 'd_number_of_mismatches_blastn', 'd_number_of_gap_openings_blastn', 'd_sequence_start_blastn', 'd_sequence_end_blastn', 'd_germline_start_blastn', 'd_germline_end_blastn', 'd_support_blastn', 'd_score_blastn', 'd_sequence_alignment_blastn', 'd_germline_alignment_blastn', 'd_source', 'v_call_genotyped', 'germline_alignment_d_mask', 'sample_id', 'c_sequence_alignment', 'c_germline_alignment', 'c_sequence_start', 'c_sequence_end', 'c_score', 'c_identity', 'c_call_10x', 'junction_aa_length', 'fwr1_aa', 'fwr2_aa', 'fwr3_aa', 'fwr4_aa', 'cdr1_aa', 'cdr2_aa', 'cdr3_aa', 'sequence_alignment_aa', 'v_sequence_alignment_aa', 'd_sequence_alignment_aa', 'j_sequence_alignment_aa', 'complete_vdj', 'j_call_multimappers', 'j_call_multiplicity', 'j_call_sequence_start_multimappers', 'j_call_sequence_end_multimappers', 'j_call_support_multimappers', 'mu_count', 'rearrangement_status'\n",
       "    metadata: 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ'\n",
       "\n",
       "[[2]]\n",
       "AnnData object with n_obs × n_vars = 18634 × 38224\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'percent.mt', 'RNA_snn_res.0.8', 'seurat_clusters', 'filter_rna', 'has_contig', 'filter_contig_quality', 'filter_contig_VDJ', 'filter_contig_VJ', 'contig_QC_pass', 'filter_contig', 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ'\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vdj_results_list <- ddl$pp$filter_contigs(combined_bcr, adata)\n",
    "vdj_results_list\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This returns a two level list in R. The first level is the VDJ results, stored as a `Dandelion` python-class object and the second level is the accompanying `AnnData` object. \n",
    "\n",
    "The `Dandelion` class is structured like a multi-slot object and the two data frames below are linked:\n",
    "1) data <- AIRR table with row names as individual vdj contigs \n",
    "\n",
    "2) metadata <- AIRR table collapsed to cell barcodes as row names\n",
    "\n",
    "More details on the `Dandelion` class are in my python tutorials. The most important slot for now, is the `metadata` slot within `Dandelion`.\n",
    "\n",
    "In order for the `metadata` to form properly, there must not be any duplicate barcodes, or incorrectly retrieved information from the `data` slot. If you end up with a `Dandelion` object that only contains the `data` slot filled, it means one of the two conditions happened. In those situations, I would recommend you to send me a copy of the file so I can check why it's failing; it is usually due to coding eror that arise from string and float incompatibilities when constructing the object."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To save the `Dandelion` object, you can do the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "vdj_results_list[[1]]$write_pkl(\"vdj_save.pkl.pbz2\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `.pkl.pbz2` extension is basically a bzip2-compressed pickle file format from python.\n",
    "\n",
    "You can also save using `$write_h5ddl`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "vdj_results_list[[1]]$write_h5ddl(\"vdj_save.h5ddl\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To read the file back into R, you can do the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dandelion class object with n_obs = 812 and n_contigs = 1657\n",
       "    data: 'sequence_id', 'sequence', 'rev_comp', 'productive', 'v_call', 'd_call', 'j_call', 'sequence_alignment', 'germline_alignment', 'junction', 'junction_aa', 'v_cigar', 'd_cigar', 'j_cigar', 'stop_codon', 'vj_in_frame', 'locus', 'c_call', 'junction_length', 'np1_length', 'np2_length', 'v_sequence_start', 'v_sequence_end', 'v_germline_start', 'v_germline_end', 'd_sequence_start', 'd_sequence_end', 'd_germline_start', 'd_germline_end', 'j_sequence_start', 'j_sequence_end', 'j_germline_start', 'j_germline_end', 'v_score', 'v_identity', 'v_support', 'd_score', 'd_identity', 'd_support', 'j_score', 'j_identity', 'j_support', 'fwr1', 'fwr2', 'fwr3', 'fwr4', 'cdr1', 'cdr2', 'cdr3', 'cell_id', 'consensus_count', 'duplicate_count', 'v_call_10x', 'd_call_10x', 'j_call_10x', 'junction_10x', 'junction_10x_aa', 'j_support_igblastn', 'j_score_igblastn', 'j_call_igblastn', 'j_call_blastn', 'j_identity_blastn', 'j_alignment_length_blastn', 'j_number_of_mismatches_blastn', 'j_number_of_gap_openings_blastn', 'j_sequence_start_blastn', 'j_sequence_end_blastn', 'j_germline_start_blastn', 'j_germline_end_blastn', 'j_support_blastn', 'j_score_blastn', 'j_sequence_alignment_blastn', 'j_germline_alignment_blastn', 'j_source', 'd_support_igblastn', 'd_score_igblastn', 'd_call_igblastn', 'd_call_blastn', 'd_identity_blastn', 'd_alignment_length_blastn', 'd_number_of_mismatches_blastn', 'd_number_of_gap_openings_blastn', 'd_sequence_start_blastn', 'd_sequence_end_blastn', 'd_germline_start_blastn', 'd_germline_end_blastn', 'd_support_blastn', 'd_score_blastn', 'd_sequence_alignment_blastn', 'd_germline_alignment_blastn', 'd_source', 'v_call_genotyped', 'germline_alignment_d_mask', 'sample_id', 'c_sequence_alignment', 'c_germline_alignment', 'c_sequence_start', 'c_sequence_end', 'c_score', 'c_identity', 'c_call_10x', 'junction_aa_length', 'fwr1_aa', 'fwr2_aa', 'fwr3_aa', 'fwr4_aa', 'cdr1_aa', 'cdr2_aa', 'cdr3_aa', 'sequence_alignment_aa', 'v_sequence_alignment_aa', 'd_sequence_alignment_aa', 'j_sequence_alignment_aa', 'complete_vdj', 'j_call_multimappers', 'j_call_multiplicity', 'j_call_sequence_start_multimappers', 'j_call_sequence_end_multimappers', 'j_call_support_multimappers', 'mu_count', 'rearrangement_status'\n",
       "    metadata: 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vdj_data <- ddl$read_pkl(\"vdj_save.pkl.pbz2\")\n",
    "vdj_data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "or"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dandelion class object with n_obs = 812 and n_contigs = 1657\n",
       "    data: 'sequence_id', 'sequence', 'rev_comp', 'productive', 'v_call', 'd_call', 'j_call', 'sequence_alignment', 'germline_alignment', 'junction', 'junction_aa', 'v_cigar', 'd_cigar', 'j_cigar', 'stop_codon', 'vj_in_frame', 'locus', 'c_call', 'junction_length', 'np1_length', 'np2_length', 'v_sequence_start', 'v_sequence_end', 'v_germline_start', 'v_germline_end', 'd_sequence_start', 'd_sequence_end', 'd_germline_start', 'd_germline_end', 'j_sequence_start', 'j_sequence_end', 'j_germline_start', 'j_germline_end', 'v_score', 'v_identity', 'v_support', 'd_score', 'd_identity', 'd_support', 'j_score', 'j_identity', 'j_support', 'fwr1', 'fwr2', 'fwr3', 'fwr4', 'cdr1', 'cdr2', 'cdr3', 'cell_id', 'consensus_count', 'duplicate_count', 'v_call_10x', 'd_call_10x', 'j_call_10x', 'junction_10x', 'junction_10x_aa', 'j_support_igblastn', 'j_score_igblastn', 'j_call_igblastn', 'j_call_blastn', 'j_identity_blastn', 'j_alignment_length_blastn', 'j_number_of_mismatches_blastn', 'j_number_of_gap_openings_blastn', 'j_sequence_start_blastn', 'j_sequence_end_blastn', 'j_germline_start_blastn', 'j_germline_end_blastn', 'j_support_blastn', 'j_score_blastn', 'j_sequence_alignment_blastn', 'j_germline_alignment_blastn', 'j_source', 'd_support_igblastn', 'd_score_igblastn', 'd_call_igblastn', 'd_call_blastn', 'd_identity_blastn', 'd_alignment_length_blastn', 'd_number_of_mismatches_blastn', 'd_number_of_gap_openings_blastn', 'd_sequence_start_blastn', 'd_sequence_end_blastn', 'd_germline_start_blastn', 'd_germline_end_blastn', 'd_support_blastn', 'd_score_blastn', 'd_sequence_alignment_blastn', 'd_germline_alignment_blastn', 'd_source', 'v_call_genotyped', 'germline_alignment_d_mask', 'sample_id', 'c_sequence_alignment', 'c_germline_alignment', 'c_sequence_start', 'c_sequence_end', 'c_score', 'c_identity', 'c_call_10x', 'junction_aa_length', 'fwr1_aa', 'fwr2_aa', 'fwr3_aa', 'fwr4_aa', 'cdr1_aa', 'cdr2_aa', 'cdr3_aa', 'sequence_alignment_aa', 'v_sequence_alignment_aa', 'd_sequence_alignment_aa', 'j_sequence_alignment_aa', 'complete_vdj', 'j_call_multimappers', 'j_call_multiplicity', 'j_call_sequence_start_multimappers', 'j_call_sequence_end_multimappers', 'j_call_support_multimappers', 'mu_count', 'rearrangement_status'\n",
       "    metadata: 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vdj_data2 <- ddl$read_h5ddl(\"vdj_save.h5ddl\")\n",
    "vdj_data2\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finding clones\n",
    "`Dandelion` comes with a method to define clones based on V-J gene usuage and CDR3 junction similarity but you can always run Immcantation/Change-O's DefineClones with the filtered file from earlier using their [tutorial](https://changeo.readthedocs.io/en/stable/examples/10x.html). To use dandelion's you just need to do the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "ddl$tl$find_clones(vdj_data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculating size of clones\n",
    "\n",
    "Sometimes it's useful to evaluate the size of the clone. Here `ddl$tl$clone_size` does a simple calculation to enable that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "ddl$tl$clone_size(vdj_data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also specify `max_size` to clip off the calculation at a fixed value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "ddl$tl$clone_size(vdj_data, max_size = 3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I have blitz through the last 3 functions without showing you the output but don't worry, they are all stashed in the `Dandelion` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dandelion class object with n_obs = 812 and n_contigs = 1657\n",
       "    data: 'sequence_id', 'sequence', 'rev_comp', 'productive', 'v_call', 'd_call', 'j_call', 'sequence_alignment', 'germline_alignment', 'junction', 'junction_aa', 'v_cigar', 'd_cigar', 'j_cigar', 'stop_codon', 'vj_in_frame', 'locus', 'c_call', 'junction_length', 'np1_length', 'np2_length', 'v_sequence_start', 'v_sequence_end', 'v_germline_start', 'v_germline_end', 'd_sequence_start', 'd_sequence_end', 'd_germline_start', 'd_germline_end', 'j_sequence_start', 'j_sequence_end', 'j_germline_start', 'j_germline_end', 'v_score', 'v_identity', 'v_support', 'd_score', 'd_identity', 'd_support', 'j_score', 'j_identity', 'j_support', 'fwr1', 'fwr2', 'fwr3', 'fwr4', 'cdr1', 'cdr2', 'cdr3', 'cell_id', 'consensus_count', 'duplicate_count', 'v_call_10x', 'd_call_10x', 'j_call_10x', 'junction_10x', 'junction_10x_aa', 'j_support_igblastn', 'j_score_igblastn', 'j_call_igblastn', 'j_call_blastn', 'j_identity_blastn', 'j_alignment_length_blastn', 'j_number_of_mismatches_blastn', 'j_number_of_gap_openings_blastn', 'j_sequence_start_blastn', 'j_sequence_end_blastn', 'j_germline_start_blastn', 'j_germline_end_blastn', 'j_support_blastn', 'j_score_blastn', 'j_sequence_alignment_blastn', 'j_germline_alignment_blastn', 'j_source', 'd_support_igblastn', 'd_score_igblastn', 'd_call_igblastn', 'd_call_blastn', 'd_identity_blastn', 'd_alignment_length_blastn', 'd_number_of_mismatches_blastn', 'd_number_of_gap_openings_blastn', 'd_sequence_start_blastn', 'd_sequence_end_blastn', 'd_germline_start_blastn', 'd_germline_end_blastn', 'd_support_blastn', 'd_score_blastn', 'd_sequence_alignment_blastn', 'd_germline_alignment_blastn', 'd_source', 'v_call_genotyped', 'germline_alignment_d_mask', 'sample_id', 'c_sequence_alignment', 'c_germline_alignment', 'c_sequence_start', 'c_sequence_end', 'c_score', 'c_identity', 'c_call_10x', 'junction_aa_length', 'fwr1_aa', 'fwr2_aa', 'fwr3_aa', 'fwr4_aa', 'cdr1_aa', 'cdr2_aa', 'cdr3_aa', 'sequence_alignment_aa', 'v_sequence_alignment_aa', 'd_sequence_alignment_aa', 'j_sequence_alignment_aa', 'complete_vdj', 'j_call_multimappers', 'j_call_multiplicity', 'j_call_sequence_start_multimappers', 'j_call_sequence_end_multimappers', 'j_call_support_multimappers', 'mu_count', 'rearrangement_status', 'clone_id'\n",
       "    metadata: 'clone_id', 'clone_id_by_size', 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ', 'clone_id_size', 'clone_id_size_max_3.0'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# compare the column names in the metadata slot of the object below with the one above.\n",
    "vdj_data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate BCR network visualization\n",
    "The name of `Dandelion` came from the way it visualizes the BCR as networks, that look like dandelions in the field. We need to first generate the network. We will hopewfully visualize in Seurat later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "ddl$tl$generate_network(vdj_data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Integrating with Seurat\n",
    "\n",
    "At this point, you might want to transfer the metadata slot back to Seurat so you can visualise some things. You can do that column by column directly from `Dandelion` object like as follows:\n",
    "\n",
    "```R\n",
    "isotype = unlist(vdj_data$metadata$isotype) # because of the python to R conversion, it thinks it's a list rather than a vector. we can correct this with unlist\n",
    "names(isotype) <- row.names(vdj_data$metadata)\n",
    "merged <- AddMetaData(merged, isotype, 'isotype')\n",
    "DimPlot(merged, group.by = 'isotype')\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I will demonstrate how to do this via the `AnnData` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 18634 × 38224\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'percent.mt', 'RNA_snn_res.0.8', 'seurat_clusters', 'filter_rna', 'has_contig', 'filter_contig_quality', 'filter_contig_VDJ', 'filter_contig_VJ', 'contig_QC_pass', 'filter_contig', 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "adata2 <- vdj_results_list[[2]]\n",
    "adata2\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transfer `Dandelion` to `AnnData`\n",
    "\n",
    "`ddl$tl$transfer` will act to transfer the metadata and graph slots from `Dandelion` object to `AnnData`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "ddl$tl$transfer(adata2, vdj_data) # switch expanded_only to TRUE if you only want to get the coordinates for expanded clones\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This will populate the adata `.obs` slot with the metadata from the `Dandelion` object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 18634 × 38224\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'percent.mt', 'RNA_snn_res.0.8', 'seurat_clusters', 'filter_rna', 'has_contig', 'filter_contig_quality', 'filter_contig_VDJ', 'filter_contig_VJ', 'contig_QC_pass', 'filter_contig', 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ', 'clone_id', 'clone_id_by_size', 'clone_id_size', 'clone_id_size_max_3.0'\n",
       "    uns: 'neighbors', 'rna_neighbors', 'clone_id'\n",
       "    obsm: 'X_vdj'\n",
       "    obsp: 'connectivities', 'distances', 'vdj_connectivities', 'vdj_distances'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "adata2\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Saving**\n",
    "\n",
    "There may be some issues with conversions between python and R and vice versa. So my recommendation at this stage is to save the three objects separately and load them up in a fresh session. There's a high chance your session will crash and/or corrupt your file if you ignore this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "adata2$write(\"adata_test.h5ad\", compression = \"gzip\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "saveRDS(merged, \"merged.RDS\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "vdj_data$write_pkl(\"vdj_save.pkl.pbz2\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Session: Transfer `AnnData` to `Seurat`\n",
    "\n",
    "We start a new session and read in the files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "setwd(\"~/Downloads/dandelion_tutorial/\")\n",
    "library(reticulate)\n",
    "ddl <- import(\"dandelion\")\n",
    "sc <- import(\"scanpy\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The legacy packages maptools, rgdal, and rgeos, underpinning the sp package,\n",
      "which was just loaded, will retire in October 2023.\n",
      "Please refer to R-spatial evolution reports for details, especially\n",
      "https://r-spatial.org/r/2023/05/15/evolution4.html.\n",
      "It may be desirable to make the sf package available;\n",
      "package maintainers should consider adding sf to Suggests:.\n",
      "The sp package is now running under evolution status 2\n",
      "     (status 2 uses the sf package in place of rgdal)\n",
      "\n",
      "Attaching SeuratObject\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(Seurat)\n",
    "samples <- c(\"sc5p_v2_hs_PBMC_1k\", \"sc5p_v2_hs_PBMC_10k\", \"vdj_v1_hs_pbmc3\", \"vdj_nextgem_hs_pbmc3\")\n",
    "adata <- sc$read_h5ad(\"adata_test.h5ad\")\n",
    "# vdj = ddl$read('vdj_save.pkl.pbz2') # don't need this at this stage\n",
    "merged <- readRDS(\"merged.RDS\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 18634 × 38224\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'percent.mt', 'RNA_snn_res.0.8', 'seurat_clusters', 'filter_rna', 'has_contig', 'filter_contig_quality', 'filter_contig_VDJ', 'filter_contig_VJ', 'contig_QC_pass', 'filter_contig', 'sample_id', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_genotyped_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_genotyped_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_genotyped_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_genotyped_B_VJ', 'j_call_B_VJ', 'c_call_B_VDJ', 'c_call_B_VJ', 'productive_B_VDJ', 'productive_B_VJ', 'duplicate_count_B_VDJ', 'duplicate_count_B_VJ', 'v_call_VDJ_main', 'v_call_VJ_main', 'd_call_VDJ_main', 'j_call_VDJ_main', 'j_call_VJ_main', 'c_call_VDJ_main', 'c_call_VJ_main', 'v_call_B_VDJ_main', 'd_call_B_VDJ_main', 'j_call_B_VDJ_main', 'v_call_B_VJ_main', 'j_call_B_VJ_main', 'isotype', 'isotype_status', 'locus_status', 'chain_status', 'rearrangement_status_VDJ', 'rearrangement_status_VJ', 'clone_id', 'clone_id_by_size', 'clone_id_size', 'clone_id_size_max_3.0'\n",
       "    uns: 'clone_id', 'neighbors', 'rna_neighbors'\n",
       "    obsm: 'X_vdj'\n",
       "    obsp: 'connectivities', 'distances', 'vdj_connectivities', 'vdj_distances'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "adata\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "An object of class Seurat \n",
       "38224 features across 18634 samples within 1 assay \n",
       "Active assay: RNA (38224 features, 2000 variable features)\n",
       " 2 dimensional reductions calculated: pca, umap"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So there are a few cells missing from the `AnnData` object because they were filtered away. Let's do a simple merge to populate the `Seurat` object's `meta.data` slot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 6 × 6</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>orig.ident</th><th scope=col>nCount_RNA</th><th scope=col>nFeature_RNA</th><th scope=col>percent.mt</th><th scope=col>RNA_snn_res.0.8</th><th scope=col>seurat_clusters</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAACCTGCAGCCTGTG</th><td>SeuratProject</td><td>5029</td><td>1819</td><td>3.579240</td><td>19</td><td>19</td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAACGGGTCGCTGATA</th><td>SeuratProject</td><td>4343</td><td>1738</td><td>2.440709</td><td>4 </td><td>4 </td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAAGCAAAGTATGACA</th><td>SeuratProject</td><td>4999</td><td>1796</td><td>2.880576</td><td>4 </td><td>4 </td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AAATGCCCACTTAAGC</th><td>SeuratProject</td><td>4998</td><td>1530</td><td>3.281313</td><td>2 </td><td>2 </td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AACACGTCAACAACCT</th><td>SeuratProject</td><td>4818</td><td>1579</td><td>2.283105</td><td>2 </td><td>2 </td></tr>\n",
       "\t<tr><th scope=row>sc5p_v2_hs_PBMC_1k_AACACGTGTTATCCGA</th><td>SeuratProject</td><td>7564</td><td>2220</td><td>2.525119</td><td>4 </td><td>4 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 6\n",
       "\\begin{tabular}{r|llllll}\n",
       "  & orig.ident & nCount\\_RNA & nFeature\\_RNA & percent.mt & RNA\\_snn\\_res.0.8 & seurat\\_clusters\\\\\n",
       "  & <chr> & <dbl> & <int> & <dbl> & <fct> & <fct>\\\\\n",
       "\\hline\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAACCTGCAGCCTGTG & SeuratProject & 5029 & 1819 & 3.579240 & 19 & 19\\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAACGGGTCGCTGATA & SeuratProject & 4343 & 1738 & 2.440709 & 4  & 4 \\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAAGCAAAGTATGACA & SeuratProject & 4999 & 1796 & 2.880576 & 4  & 4 \\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AAATGCCCACTTAAGC & SeuratProject & 4998 & 1530 & 3.281313 & 2  & 2 \\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACACGTCAACAACCT & SeuratProject & 4818 & 1579 & 2.283105 & 2  & 2 \\\\\n",
       "\tsc5p\\_v2\\_hs\\_PBMC\\_1k\\_AACACGTGTTATCCGA & SeuratProject & 7564 & 2220 & 2.525119 & 4  & 4 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 6\n",
       "\n",
       "| <!--/--> | orig.ident &lt;chr&gt; | nCount_RNA &lt;dbl&gt; | nFeature_RNA &lt;int&gt; | percent.mt &lt;dbl&gt; | RNA_snn_res.0.8 &lt;fct&gt; | seurat_clusters &lt;fct&gt; |\n",
       "|---|---|---|---|---|---|---|\n",
       "| sc5p_v2_hs_PBMC_1k_AAACCTGCAGCCTGTG | SeuratProject | 5029 | 1819 | 3.579240 | 19 | 19 |\n",
       "| sc5p_v2_hs_PBMC_1k_AAACGGGTCGCTGATA | SeuratProject | 4343 | 1738 | 2.440709 | 4  | 4  |\n",
       "| sc5p_v2_hs_PBMC_1k_AAAGCAAAGTATGACA | SeuratProject | 4999 | 1796 | 2.880576 | 4  | 4  |\n",
       "| sc5p_v2_hs_PBMC_1k_AAATGCCCACTTAAGC | SeuratProject | 4998 | 1530 | 3.281313 | 2  | 2  |\n",
       "| sc5p_v2_hs_PBMC_1k_AACACGTCAACAACCT | SeuratProject | 4818 | 1579 | 2.283105 | 2  | 2  |\n",
       "| sc5p_v2_hs_PBMC_1k_AACACGTGTTATCCGA | SeuratProject | 7564 | 2220 | 2.525119 | 4  | 4  |\n",
       "\n"
      ],
      "text/plain": [
       "                                    orig.ident    nCount_RNA nFeature_RNA\n",
       "sc5p_v2_hs_PBMC_1k_AAACCTGCAGCCTGTG SeuratProject 5029       1819        \n",
       "sc5p_v2_hs_PBMC_1k_AAACGGGTCGCTGATA SeuratProject 4343       1738        \n",
       "sc5p_v2_hs_PBMC_1k_AAAGCAAAGTATGACA SeuratProject 4999       1796        \n",
       "sc5p_v2_hs_PBMC_1k_AAATGCCCACTTAAGC SeuratProject 4998       1530        \n",
       "sc5p_v2_hs_PBMC_1k_AACACGTCAACAACCT SeuratProject 4818       1579        \n",
       "sc5p_v2_hs_PBMC_1k_AACACGTGTTATCCGA SeuratProject 7564       2220        \n",
       "                                    percent.mt RNA_snn_res.0.8 seurat_clusters\n",
       "sc5p_v2_hs_PBMC_1k_AAACCTGCAGCCTGTG 3.579240   19              19             \n",
       "sc5p_v2_hs_PBMC_1k_AAACGGGTCGCTGATA 2.440709   4               4              \n",
       "sc5p_v2_hs_PBMC_1k_AAAGCAAAGTATGACA 2.880576   4               4              \n",
       "sc5p_v2_hs_PBMC_1k_AAATGCCCACTTAAGC 3.281313   2               2              \n",
       "sc5p_v2_hs_PBMC_1k_AACACGTCAACAACCT 2.283105   2               2              \n",
       "sc5p_v2_hs_PBMC_1k_AACACGTGTTATCCGA 2.525119   4               4              "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged_meta <- merged@meta.data\n",
    "head(merged_meta)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# extract the metadata from the anndata object\n",
    "adata_meta <- as.data.frame(adata$obs)\n",
    "# two rounds to convert NAs\n",
    "is.nan.data.frame <- function(x) {\n",
    "  do.call(cbind, lapply(x, is.nan))\n",
    "}\n",
    "\n",
    "adata_meta[is.nan(adata_meta)] <- NA\n",
    "\n",
    "is.nan.data.frame <- function(x) {\n",
    "  do.call(cbind, lapply(x, function(y) y == \"nan\"))\n",
    "}\n",
    "\n",
    "adata_meta[is.nan(adata_meta)] <- NA\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you run into issues with the conversion, unfortunately there's not much I can do about it. One alternative is to just transfer the `.obs` slot from the dandelion object one by one as above into the seurat object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# merge into a data frame and then make sure the format is correct\n",
    "merged_data <- as.data.frame(merge(merged_meta, adata_meta, by = 0, all = TRUE))\n",
    "rownames(merged_data) <- merged_data[, 1]\n",
    "merged_data[, 1] <- NULL\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "# now just replace the current Seurat@meta.data\n",
    "merged@meta.data <- merged_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message in `[[.Seurat`(object, group.by):\n",
      "“Cannot find the following bits of meta data: status”\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1200,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 6, repr.plot.height = 12, repr.plot.res = 200)\n",
    "DimPlot(merged, group.by = c(\"contig_QC_pass\", \"isotype\", \"status\"), ncol = 1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to visualise the BCR network, you will have to subset to cells that contain BCR."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "An object of class Seurat \n",
       "38224 features across 812 samples within 1 assay \n",
       "Active assay: RNA (38224 features, 2000 variable features)\n",
       " 2 dimensional reductions calculated: pca, umap"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged_bcr <- subset(merged, subset = contig_QC_pass == \"True\")\n",
    "merged_bcr\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting BCR network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "X_vdj <- adata$obsm[\"X_vdj\"]\n",
    "X_vdj <- apply(X_vdj, 2, function(x) gsub(\"NaN\", NA, x)) # convert python NAs to R NAs\n",
    "X_vdj <- apply(X_vdj, 2, function(x) as.numeric(x)) # Make sure they are actually numbers\n",
    "X_vdj <- as.matrix(X_vdj)\n",
    "row.names(X_vdj) <- row.names(adata$obs) # will not work if the anndata .obs slot is malformed. the row.names for adata$obs and row.names(merged_bcr@meta.data) should be identical anyway, so just replace with row.names(merged_bcr@meta.data)\n",
    "X_vdj <- X_vdj[!is.na(X_vdj[, 1]), ]\n",
    "colnames(X_vdj) <- c(\"VDJ_1\", \"VDJ_2\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": [
    "merged_bcr[[\"VDJ\"]] <- CreateDimReducObject(embeddings = X_vdj, key = \"VDJ_\", assay = DefaultAssay(merged_bcr))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "An object of class Seurat \n",
       "38224 features across 812 samples within 1 assay \n",
       "Active assay: RNA (38224 features, 2000 variable features)\n",
       " 3 dimensional reductions calculated: pca, umap, VDJ"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged_bcr\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 500,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "options(repr.plot.width = 6, repr.plot.height = 5, repr.plot.res = 200)\n",
    "DimPlot(merged_bcr, reduction = \"VDJ\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 500,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DimPlot(merged_bcr, reduction = \"VDJ\", group.by = \"isotype\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This concludes a quick primer on how to use `dandelion` from R. It may be a bit buggy from time to time due to how reticulate/rpy2 works but hopefully it will be overall alright.\n",
    "\n",
    "The rest of the functions could be potentially run from R (just be changing `.` to `$` for example), but I haven't tested it. Might be easier to run it through python, or maybe with the new RStudio 4?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R version 4.3.1 (2023-06-16)\n",
       "Platform: aarch64-apple-darwin22.4.0 (64-bit)\n",
       "Running under: macOS Ventura 13.4.1\n",
       "\n",
       "Matrix products: default\n",
       "BLAS:   /opt/homebrew/Cellar/openblas/0.3.23/lib/libopenblasp-r0.3.23.dylib \n",
       "LAPACK: /opt/homebrew/Cellar/r/4.3.1/lib/R/lib/libRlapack.dylib;  LAPACK version 3.11.0\n",
       "\n",
       "locale:\n",
       "[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8\n",
       "\n",
       "time zone: Australia/Brisbane\n",
       "tzcode source: internal\n",
       "\n",
       "attached base packages:\n",
       "[1] stats     graphics  grDevices utils     datasets  methods   base     \n",
       "\n",
       "other attached packages:\n",
       "[1] SeuratObject_4.1.3 Seurat_4.3.0.1     reticulate_1.30   \n",
       "\n",
       "loaded via a namespace (and not attached):\n",
       "  [1] deldir_1.0-9           pbapply_1.7-0          gridExtra_2.3         \n",
       "  [4] rlang_1.1.1            magrittr_2.0.3         RcppAnnoy_0.0.20      \n",
       "  [7] spatstat.geom_3.2-1    matrixStats_1.0.0      ggridges_0.5.4        \n",
       " [10] compiler_4.3.1         png_0.1-8              vctrs_0.6.3           \n",
       " [13] reshape2_1.4.4         stringr_1.5.0          pkgconfig_2.0.3       \n",
       " [16] crayon_1.5.2           fastmap_1.1.1          ellipsis_0.3.2        \n",
       " [19] labeling_0.4.2         utf8_1.2.3             promises_1.2.0.1      \n",
       " [22] purrr_1.0.1            jsonlite_1.8.5         goftest_1.2-3         \n",
       " [25] later_1.3.1            spatstat.utils_3.0-3   uuid_1.1-0            \n",
       " [28] irlba_2.3.5.1          parallel_4.3.1         cluster_2.1.4         \n",
       " [31] R6_2.5.1               ica_1.0-3              spatstat.data_3.0-1   \n",
       " [34] stringi_1.7.12         RColorBrewer_1.1-3     parallelly_1.36.0     \n",
       " [37] lmtest_0.9-40          scattermore_1.2        Rcpp_1.0.10           \n",
       " [40] IRkernel_1.3.2         tensor_1.5             future.apply_1.11.0   \n",
       " [43] zoo_1.8-12             base64enc_0.1-3        sctransform_0.3.5     \n",
       " [46] httpuv_1.6.11          Matrix_1.5-4.1         splines_4.3.1         \n",
       " [49] igraph_1.5.0           tidyselect_1.2.0       abind_1.4-5           \n",
       " [52] spatstat.random_3.1-5  codetools_0.2-19       miniUI_0.1.1.1        \n",
       " [55] spatstat.explore_3.2-1 listenv_0.9.0          lattice_0.21-8        \n",
       " [58] tibble_3.2.1           plyr_1.8.8             shiny_1.7.4           \n",
       " [61] withr_2.5.0            ROCR_1.0-11            evaluate_0.21         \n",
       " [64] Rtsne_0.16             future_1.32.0          survival_3.5-5        \n",
       " [67] polyclip_1.10-4        fitdistrplus_1.1-11    pillar_1.9.0          \n",
       " [70] KernSmooth_2.23-21     plotly_4.10.2          generics_0.1.3        \n",
       " [73] rprojroot_2.0.3        sp_2.0-0               IRdisplay_1.1         \n",
       " [76] ggplot2_3.4.2          munsell_0.5.0          scales_1.2.1          \n",
       " [79] globals_0.16.2         xtable_1.8-4           glue_1.6.2            \n",
       " [82] lazyeval_0.2.2         tools_4.3.1            data.table_1.14.8     \n",
       " [85] pbdZMQ_0.3-9           RANN_2.6.1             leiden_0.4.3          \n",
       " [88] Cairo_1.6-0            cowplot_1.1.1          grid_4.3.1            \n",
       " [91] tidyr_1.3.0            colorspace_2.1-0       nlme_3.1-162          \n",
       " [94] patchwork_1.1.2        repr_1.1.6             cli_3.6.1             \n",
       " [97] spatstat.sparse_3.0-2  fansi_1.0.4            viridisLite_0.4.2     \n",
       "[100] dplyr_1.1.2            uwot_0.1.14            gtable_0.3.3          \n",
       "[103] digest_0.6.31          progressr_0.13.0       ggrepel_0.9.3         \n",
       "[106] farver_2.1.1           htmlwidgets_1.6.2      htmltools_0.5.5       \n",
       "[109] lifecycle_1.0.3        httr_1.4.6             here_1.0.1            \n",
       "[112] mime_0.12              MASS_7.3-60           "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sessionInfo()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "r"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.3.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}