docs/notebooks/1b_dandelion_noreannotation-10x_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reading 10X Cell Ranger output directly\n",
    "\n",
    "If for whatever reason you've decided to skip the reannotation/preprocessing, you can read the files directly from the Cell Ranger output folder with `Dandelion`'s `ddl.read_10x_vdj`, which accepts the `*_contig_annotations.csv` or `all_contig_annotations.json` file(s) as input. If reading with the `.csv` file, and the `.fasta` file and/or `.json` file(s) are in the same folder, `ddl.read_10x_vdj` will try to extract additional information not found in the `.csv` file e.g. contig sequences.\n",
    "\n",
    "From <b>Cell Ranger V4</b> onwards, there is also an `airr_rearrangement.tsv` file that can be used directly with `Dandelion`. However, doing so will miss out on the reannotation steps but that is entirely up to you.\n",
    "\n",
    "We will download the <b>airr_rearrangement.tsv</b> file from here:\n",
    "```bash\n",
    "# bash\n",
    "wget https://cf.10xgenomics.com/samples/cell-vdj/4.0.0/sc5p_v2_hs_PBMC_10k/sc5p_v2_hs_PBMC_10k_b_filtered_contig_annotations.csv\n",
    "wget https://cf.10xgenomics.com/samples/cell-vdj/4.0.0/sc5p_v2_hs_PBMC_10k/sc5p_v2_hs_PBMC_10k_b_filtered_contig.fasta\n",
    "# wget https://cf.10xgenomics.com/samples/cell-vdj/4.0.0/sc5p_v2_hs_PBMC_10k/sc5p_v2_hs_PBMC_10k_b_all_contig_annotations.json\n",
    "wget https://cf.10xgenomics.com/samples/cell-vdj/4.0.0/sc5p_v2_hs_PBMC_10k/sc5p_v2_hs_PBMC_10k_b_airr_rearrangement.tsv\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Import dandelion module</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dandelion==0.3.4.dev30 pandas==2.0.1 numpy==1.24.3 matplotlib==3.7.1 networkx==3.1 scipy==1.11.2\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import dandelion as ddl\n",
    "\n",
    "# change directory to somewhere more workable\n",
    "os.chdir(os.path.expanduser(\"~/Downloads/dandelion_tutorial/\"))\n",
    "ddl.logging.print_versions()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `ddl.read_10x_vdj`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dandelion class object with n_obs = 994 and n_contigs = 2601\n",
       "    data: 'cell_id', 'is_cell_10x', 'sequence_id', 'high_confidence_10x', 'sequence_length_10x', 'locus', 'v_call', 'd_call', 'j_call', 'c_call', 'complete_vdj', 'productive', 'junction_aa', 'junction', 'consensus_count', 'duplicate_count', 'clone_id', 'raw_consensus_id_10x', 'sequence', 'rearrangement_status'\n",
       "    metadata: 'clone_id', 'clone_id_by_size', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_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'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "folder_location = \"sc5p_v2_hs_PBMC_10k\"\n",
    "# or file_location = 'sc5p_v2_hs_PBMC_10k/'\n",
    "vdj = ddl.read_10x_vdj(\n",
    "    folder_location, filename_prefix=\"sc5p_v2_hs_PBMC_10k_b_filtered\"\n",
    ")\n",
    "vdj"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `ddl.read_10x_airr`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dandelion class object with n_obs = 994 and n_contigs = 2093\n",
       "    data: 'cell_id', 'sequence_id', 'sequence', 'sequence_aa', 'productive', 'rev_comp', 'v_call', 'v_cigar', 'd_call', 'd_cigar', 'j_call', 'j_cigar', 'c_call', 'c_cigar', 'sequence_alignment', 'germline_alignment', 'junction', 'junction_aa', 'junction_length', 'junction_aa_length', 'v_sequence_start', 'v_sequence_end', 'd_sequence_start', 'd_sequence_end', 'j_sequence_start', 'j_sequence_end', 'c_sequence_start', 'c_sequence_end', 'consensus_count', 'duplicate_count', 'is_cell', 'locus', 'rearrangement_status'\n",
       "    metadata: 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_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'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read in the airr_rearrangement.tsv file\n",
    "file_location = (\n",
    "    \"sc5p_v2_hs_PBMC_10k/sc5p_v2_hs_PBMC_10k_b_airr_rearrangement.tsv\"\n",
    ")\n",
    "vdj = ddl.read_10x_airr(file_location)\n",
    "vdj"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will continue with the rest of the filtering part of the analysis to show how it slots smoothly with the rest of the workflow."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Import modules for use with scanpy</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scanpy==1.9.3 anndata==0.9.1 umap==0.5.3 numpy==1.24.3 scipy==1.11.2 pandas==2.0.1 scikit-learn==1.3.0 statsmodels==0.14.0 python-igraph==0.10.6 pynndescent==0.5.10\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import scanpy as sc\n",
    "import warnings\n",
    "import functools\n",
    "import seaborn as sns\n",
    "import scipy.stats\n",
    "import anndata\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "sc.logging.print_header()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Import the transcriptome data</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 10553 × 36601\n",
       "    obs: 'sample_id'\n",
       "    var: 'gene_ids', 'feature_types', 'genome'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata = sc.read_10x_h5(\n",
    "    \"sc5p_v2_hs_PBMC_10k/filtered_feature_bc_matrix.h5\", gex_only=True\n",
    ")\n",
    "adata.obs[\"sample_id\"] = \"sc5p_v2_hs_PBMC_10k\"\n",
    "adata.var_names_make_unique()\n",
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run QC on the transcriptome data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 10553 × 36601\n",
       "    obs: 'sample_id', 'n_genes', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt', 'scrublet_score', 'is_doublet', 'filter_rna'\n",
       "    var: 'gene_ids', 'feature_types', 'genome'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ddl.pp.recipe_scanpy_qc(adata)\n",
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the filtering of bcr data. Note that I'm using the `Dandelion` object as input rather than the pandas dataframe (yes both types of input will works. In fact, a file path to the .tsv will work too)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Preparing data: 2093it [00:00, 16146.33it/s]\n",
      "Scanning for poor quality/ambiguous contigs: 100%|██████████| 994/994 [00:01<00:00, 977.40it/s] \n"
     ]
    }
   ],
   "source": [
    "# The function will return both objects.\n",
    "vdj, adata = ddl.pp.check_contigs(vdj, adata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Check the output V(D)J table</b>\n",
    "\n",
    "The vdj table is returned as a `Dandelion` class object in the `.data` slot; if a file was provided for `filter_bcr` above, a new file will be created in the same folder with the `filtered` prefix. Note that this V(D)J table is indexed based on contigs (sequence_id)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dandelion class object with n_obs = 984 and n_contigs = 2093\n",
       "    data: 'cell_id', 'sequence_id', 'sequence', 'sequence_aa', 'productive', 'rev_comp', 'v_call', 'v_cigar', 'd_call', 'd_cigar', 'j_call', 'j_cigar', 'c_call', 'c_cigar', 'sequence_alignment', 'germline_alignment', 'junction', 'junction_aa', 'junction_length', 'junction_aa_length', 'v_sequence_start', 'v_sequence_end', 'd_sequence_start', 'd_sequence_end', 'j_sequence_start', 'j_sequence_end', 'c_sequence_start', 'c_sequence_end', 'consensus_count', 'duplicate_count', 'is_cell', 'locus', 'rearrangement_status', 'ambiguous'\n",
       "    metadata: 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_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'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vdj"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Check the AnnData object as well</b>\n",
    "\n",
    "And the `AnnData` object is indexed based on cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 10553 × 36601\n",
       "    obs: 'sample_id', 'n_genes', 'n_genes_by_counts', 'total_counts', 'total_counts_mt', 'pct_counts_mt', 'scrublet_score', 'is_doublet', 'filter_rna', 'has_contig', 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_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",
       "    var: 'gene_ids', 'feature_types', 'genome'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>The number of cells that actually has a matching BCR can be tabluated.</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>chain_status</th>\n",
       "      <th>Extra pair</th>\n",
       "      <th>Extra pair-exception</th>\n",
       "      <th>No_contig</th>\n",
       "      <th>Orphan VDJ</th>\n",
       "      <th>Orphan VJ</th>\n",
       "      <th>Single pair</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>has_contig</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No_contig</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9569</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>57</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>881</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "chain_status  Extra pair  Extra pair-exception  No_contig  Orphan VDJ   \n",
       "has_contig                                                              \n",
       "No_contig              0                     0       9569           0  \\\n",
       "True                  57                     2          0           5   \n",
       "\n",
       "chain_status  Orphan VJ  Single pair  \n",
       "has_contig                            \n",
       "No_contig             0            0  \n",
       "True                 39          881  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(adata.obs[\"has_contig\"], adata.obs[\"chain_status\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Now actually filter the AnnData object and run through a standard workflow starting by filtering genes and normalizing the data</b>\n",
    "\n",
    "Because the 'filtered' `AnnData` object was returned as a filtered but otherwise unprocessed object, we still need to normalize and run through the usual process here. The following is just a standard scanpy workflow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = adata[\n",
    "    adata.obs[\"filter_rna\"] == \"False\"\n",
    "]  # from ddl.pp.recipe_scanpy_qc\n",
    "# filter genes\n",
    "sc.pp.filter_genes(adata, min_cells=3)\n",
    "# Normalize the counts\n",
    "sc.pp.normalize_total(adata, target_sum=1e4)\n",
    "# Logarithmize the data\n",
    "sc.pp.log1p(adata)\n",
    "# Stash the normalised counts\n",
    "adata.raw = adata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Identify highly-variable genes</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1280x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pp.highly_variable_genes(adata, min_mean=0.0125, max_mean=3, min_disp=0.5)\n",
    "sc.pl.highly_variable_genes(adata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Filter the genes to only those marked as highly-variable</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = adata[:, adata.var.highly_variable]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Regress out effects of total counts per cell and the percentage of mitochondrial genes expressed. Scale the data to unit variance.</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.regress_out(adata, [\"total_counts\", \"pct_counts_mt\"])\n",
    "sc.pp.scale(adata, max_value=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Run PCA</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.tl.pca(adata, svd_solver=\"arpack\")\n",
    "sc.pl.pca_variance_ratio(adata, log=True, n_pcs=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Computing the neighborhood graph, umap and clusters</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Computing the neighborhood graph\n",
    "sc.pp.neighbors(adata)\n",
    "# Embedding the neighborhood graph\n",
    "sc.tl.umap(adata)\n",
    "# Clustering the neighborhood graph\n",
    "sc.tl.leiden(adata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Visualizing the clusters and whether or not there's a corresponding BCR</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1455.6x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(adata, color=[\"leiden\", \"chain_status\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Visualizing some B cell genes</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1455.6x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(adata, color=[\"IGHM\", \"JCHAIN\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Save AnnData</b>\n",
    "\n",
    "We can save this `AnnData` object for now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.write(\"adata2.h5ad\", compression=\"gzip\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b>Save dandelion</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To save the vdj object, we have two options - either save the `.data` and `.metadata` slots with pandas' functions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "vdj.data.to_csv(\"filtered_vdj_table2.tsv\", sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "vdj.write_h5ddl(\"dandelion_results2.h5ddl\", complib=\"bzip2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Concatenating multiple bcr objects\n",
    "\n",
    "It is quite common that one might be trying to analyse data from multiple samples. In that case, `dandelion` has a `concat` function to merge the data.\n",
    "\n",
    "We will simulate a second object but reading in the same file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "vdj1 = ddl.read_10x_airr(file_location)\n",
    "vdj2 = ddl.read_10x_airr(file_location)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before you merge the objects, make sure that the \"cell_id\" and \"sequence_id\" are distinct so that you can distinguish them later"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# note: if the you reannotated the data with the full processing pipeline i.e. ran ddl.pp.format_fasta, this is already taken care of.\n",
    "vdj1.data.cell_id = [\"run1\" + \"_\" + x for x in vdj1.data.cell_id]\n",
    "vdj2.data.cell_id = [\"run2\" + \"_\" + x for x in vdj2.data.cell_id]\n",
    "\n",
    "# probably don't need to modify the sequence_id. the concat function will check for unique and append -0, -1  etc when it encounters non-unique sequence_ids\n",
    "# vdj1.data.sequence_id = [\"run1\" + '_' + x for x in vdj1.data.sequence_id]\n",
    "# vdj2.data.sequence_id = [\"run2\" + '_' + x for x in vdj2.data.sequence_id]\n",
    "# you can also reinitialise just in case so that the info is propagated properly (unnecessary here)\n",
    "# vdj1 = ddl.Dandelion(vdj1.data)\n",
    "# vdj2 = ddl.Dandelion(vdj2.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dandelion class object with n_obs = 1988 and n_contigs = 4186\n",
       "    data: 'cell_id', 'sequence_id', 'sequence', 'sequence_aa', 'productive', 'rev_comp', 'v_call', 'v_cigar', 'd_call', 'd_cigar', 'j_call', 'j_cigar', 'c_call', 'c_cigar', 'sequence_alignment', 'germline_alignment', 'junction', 'junction_aa', 'junction_length', 'junction_aa_length', 'v_sequence_start', 'v_sequence_end', 'd_sequence_start', 'd_sequence_end', 'j_sequence_start', 'j_sequence_end', 'c_sequence_start', 'c_sequence_end', 'consensus_count', 'duplicate_count', 'is_cell', 'locus', 'rearrangement_status'\n",
       "    metadata: 'locus_VDJ', 'locus_VJ', 'productive_VDJ', 'productive_VJ', 'v_call_VDJ', 'd_call_VDJ', 'j_call_VDJ', 'v_call_VJ', 'j_call_VJ', 'c_call_VDJ', 'c_call_VJ', 'junction_VDJ', 'junction_VJ', 'junction_aa_VDJ', 'junction_aa_VJ', 'v_call_B_VDJ', 'd_call_B_VDJ', 'j_call_B_VDJ', 'v_call_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'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vdj_merged = ddl.concat([vdj1, vdj2])\n",
    "vdj_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cell_id</th>\n",
       "      <th>sequence_id</th>\n",
       "      <th>sequence</th>\n",
       "      <th>sequence_aa</th>\n",
       "      <th>productive</th>\n",
       "      <th>rev_comp</th>\n",
       "      <th>v_call</th>\n",
       "      <th>v_cigar</th>\n",
       "      <th>d_call</th>\n",
       "      <th>d_cigar</th>\n",
       "      <th>...</th>\n",
       "      <th>d_sequence_end</th>\n",
       "      <th>j_sequence_start</th>\n",
       "      <th>j_sequence_end</th>\n",
       "      <th>c_sequence_start</th>\n",
       "      <th>c_sequence_end</th>\n",
       "      <th>consensus_count</th>\n",
       "      <th>duplicate_count</th>\n",
       "      <th>is_cell</th>\n",
       "      <th>locus</th>\n",
       "      <th>rearrangement_status</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sequence_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AAACCTGTCATATCGG-1_contig_1-0</th>\n",
       "      <td>run1_AAACCTGTCATATCGG-1</td>\n",
       "      <td>AAACCTGTCATATCGG-1_contig_1-0</td>\n",
       "      <td>TGGGGAGGAGTCAGTCCCAACCAGGACACGGCCTGGACATGAGGGT...</td>\n",
       "      <td>MRVPAQLLGLLLLWLSGARCDIQMTQSPSSLSASVGDRVTITCQAT...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGKV1-8</td>\n",
       "      <td>38S314M204S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>384</td>\n",
       "      <td>420</td>\n",
       "      <td>421</td>\n",
       "      <td>556</td>\n",
       "      <td>9139</td>\n",
       "      <td>68</td>\n",
       "      <td>T</td>\n",
       "      <td>IGK</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCTGTCCGTTGTC-1_contig_2-0</th>\n",
       "      <td>run1_AAACCTGTCCGTTGTC-1</td>\n",
       "      <td>AAACCTGTCCGTTGTC-1_contig_2-0</td>\n",
       "      <td>ATCACATAACAACCACATTCCTCCTCTAAAGAAGCCCCTGGGAGCA...</td>\n",
       "      <td>MDWTWRFLFVVAAATGVQSQVQLVQSGAEVKKPGSSVKVSCKASGG...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGHV1-69D</td>\n",
       "      <td>58S353M154S</td>\n",
       "      <td>IGHD3-22</td>\n",
       "      <td>411S31M123S</td>\n",
       "      <td>...</td>\n",
       "      <td>442.0</td>\n",
       "      <td>445</td>\n",
       "      <td>494</td>\n",
       "      <td>495</td>\n",
       "      <td>565</td>\n",
       "      <td>4161</td>\n",
       "      <td>51</td>\n",
       "      <td>T</td>\n",
       "      <td>IGH</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCTGTCCGTTGTC-1_contig_1-0</th>\n",
       "      <td>run1_AAACCTGTCCGTTGTC-1</td>\n",
       "      <td>AAACCTGTCCGTTGTC-1_contig_1-0</td>\n",
       "      <td>AGGAGTCAGACCCTGTCAGGACACAGCATAGACATGAGGGTCCCCG...</td>\n",
       "      <td>MRVPAQLLGLLLLWLPGARCAIRMTQSPSSFSASTGDRVTITCRAS...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGKV1-8</td>\n",
       "      <td>33S345M173S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>378</td>\n",
       "      <td>415</td>\n",
       "      <td>416</td>\n",
       "      <td>551</td>\n",
       "      <td>5679</td>\n",
       "      <td>43</td>\n",
       "      <td>T</td>\n",
       "      <td>IGK</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCTGTCGAGAACG-1_contig_1-0</th>\n",
       "      <td>run1_AAACCTGTCGAGAACG-1</td>\n",
       "      <td>AAACCTGTCGAGAACG-1_contig_1-0</td>\n",
       "      <td>ACTGTGGGGGTAAGAGGTTGTGTCCACCATGGCCTGGACTCCTCTC...</td>\n",
       "      <td>MAWTPLLLLFLSHCTGSLSQAVLTQPSSLSASPGASGRLTCTLRSD...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGLV5-45</td>\n",
       "      <td>28S369M245S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>394</td>\n",
       "      <td>431</td>\n",
       "      <td>432</td>\n",
       "      <td>642</td>\n",
       "      <td>13160</td>\n",
       "      <td>90</td>\n",
       "      <td>T</td>\n",
       "      <td>IGL</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AAACCTGTCGAGAACG-1_contig_2-0</th>\n",
       "      <td>run1_AAACCTGTCGAGAACG-1</td>\n",
       "      <td>AAACCTGTCGAGAACG-1_contig_2-0</td>\n",
       "      <td>GGGAGCATCACCCAGCAACCACATCTGTCCTCTAGAGAATCCCCTG...</td>\n",
       "      <td>MDWTWRILFLVAAATGAHSQVQLVQSGGEVKKPGASVKVSCKASGY...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGHV1-2</td>\n",
       "      <td>64S353M133S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>430</td>\n",
       "      <td>479</td>\n",
       "      <td>480</td>\n",
       "      <td>550</td>\n",
       "      <td>5080</td>\n",
       "      <td>47</td>\n",
       "      <td>T</td>\n",
       "      <td>IGH</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGGTTTCAGAGCTT-1_contig_2-1</th>\n",
       "      <td>run2_TTTGGTTTCAGAGCTT-1</td>\n",
       "      <td>TTTGGTTTCAGAGCTT-1_contig_2-1</td>\n",
       "      <td>GGGAGAGCCCTGGGGAGGAACTGCTCAGTTAGGACCCAGAGGGAAC...</td>\n",
       "      <td>MEAPAQLLFLLLLWLPDTTGEIVLTQSPATLSLSPGERATLSCRAS...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGKV3-11</td>\n",
       "      <td>47S345M170S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>389</td>\n",
       "      <td>426</td>\n",
       "      <td>427</td>\n",
       "      <td>562</td>\n",
       "      <td>11867</td>\n",
       "      <td>73</td>\n",
       "      <td>T</td>\n",
       "      <td>IGK</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGGTTTCAGTGTTG-1_contig_1-1</th>\n",
       "      <td>run2_TTTGGTTTCAGTGTTG-1</td>\n",
       "      <td>TTTGGTTTCAGTGTTG-1_contig_1-1</td>\n",
       "      <td>GGGGTCACAAGAGGCAGCGCTCTCGGGACGTCTCCACCATGGCCTG...</td>\n",
       "      <td>MAWALLLLTLLTQDTGSWAQSALTQPASVSGSPGQSITISCTGTSS...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGLV2-23</td>\n",
       "      <td>38S340M262S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>392</td>\n",
       "      <td>429</td>\n",
       "      <td>430</td>\n",
       "      <td>640</td>\n",
       "      <td>6497</td>\n",
       "      <td>58</td>\n",
       "      <td>T</td>\n",
       "      <td>IGL</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGGTTTCAGTGTTG-1_contig_2-1</th>\n",
       "      <td>run2_TTTGGTTTCAGTGTTG-1</td>\n",
       "      <td>TTTGGTTTCAGTGTTG-1_contig_2-1</td>\n",
       "      <td>ATATTTCGTATCTGGGGAGTGACTCCTGTGCCCCACCATGGACACA...</td>\n",
       "      <td>MDTLCSTLLLLTIPSWVLSQITLKESGPTLVKPTQTLTLTCTFSGF...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGHV2-5</td>\n",
       "      <td>37S358M122S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>399</td>\n",
       "      <td>446</td>\n",
       "      <td>447</td>\n",
       "      <td>517</td>\n",
       "      <td>3530</td>\n",
       "      <td>33</td>\n",
       "      <td>T</td>\n",
       "      <td>IGH</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGGTTTCGGTGTCG-1_contig_2-1</th>\n",
       "      <td>run2_TTTGGTTTCGGTGTCG-1</td>\n",
       "      <td>TTTGGTTTCGGTGTCG-1_contig_2-1</td>\n",
       "      <td>GGGAGAGCCCTGGGGAGGAACTGCTCAGTTAGGACCCAGAGGGAAC...</td>\n",
       "      <td>MEAPAQLLFLLLLWLPDTTGEIVLTQSPATLSLSPGERATLSCRAS...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGKV3-11</td>\n",
       "      <td>47S345M176S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>396</td>\n",
       "      <td>432</td>\n",
       "      <td>433</td>\n",
       "      <td>568</td>\n",
       "      <td>3058</td>\n",
       "      <td>22</td>\n",
       "      <td>T</td>\n",
       "      <td>IGK</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TTTGGTTTCGGTGTCG-1_contig_1-1</th>\n",
       "      <td>run2_TTTGGTTTCGGTGTCG-1</td>\n",
       "      <td>TTTGGTTTCGGTGTCG-1_contig_1-1</td>\n",
       "      <td>GAGAGAGGAGCCTTAGCCCTGGATTCCAAGGCCTATCCACTTGGTG...</td>\n",
       "      <td>MELGLRWVFLVAILEGVQCEVQLVESGGGLVKPGGSLRLSCAASGF...</td>\n",
       "      <td>T</td>\n",
       "      <td>F</td>\n",
       "      <td>IGHV3-21</td>\n",
       "      <td>73S353M145S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>448</td>\n",
       "      <td>500</td>\n",
       "      <td>501</td>\n",
       "      <td>571</td>\n",
       "      <td>1026</td>\n",
       "      <td>12</td>\n",
       "      <td>T</td>\n",
       "      <td>IGH</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4186 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               cell_id   \n",
       "sequence_id                                              \n",
       "AAACCTGTCATATCGG-1_contig_1-0  run1_AAACCTGTCATATCGG-1  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0  run1_AAACCTGTCCGTTGTC-1   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0  run1_AAACCTGTCCGTTGTC-1   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0  run1_AAACCTGTCGAGAACG-1   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0  run1_AAACCTGTCGAGAACG-1   \n",
       "...                                                ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1  run2_TTTGGTTTCAGAGCTT-1   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1  run2_TTTGGTTTCAGTGTTG-1   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1  run2_TTTGGTTTCAGTGTTG-1   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1  run2_TTTGGTTTCGGTGTCG-1   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1  run2_TTTGGTTTCGGTGTCG-1   \n",
       "\n",
       "                                                 sequence_id   \n",
       "sequence_id                                                    \n",
       "AAACCTGTCATATCGG-1_contig_1-0  AAACCTGTCATATCGG-1_contig_1-0  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0  AAACCTGTCCGTTGTC-1_contig_2-0   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0  AAACCTGTCCGTTGTC-1_contig_1-0   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0  AAACCTGTCGAGAACG-1_contig_1-0   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0  AAACCTGTCGAGAACG-1_contig_2-0   \n",
       "...                                                      ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1  TTTGGTTTCAGAGCTT-1_contig_2-1   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1  TTTGGTTTCAGTGTTG-1_contig_1-1   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1  TTTGGTTTCAGTGTTG-1_contig_2-1   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1  TTTGGTTTCGGTGTCG-1_contig_2-1   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1  TTTGGTTTCGGTGTCG-1_contig_1-1   \n",
       "\n",
       "                                                                        sequence   \n",
       "sequence_id                                                                        \n",
       "AAACCTGTCATATCGG-1_contig_1-0  TGGGGAGGAGTCAGTCCCAACCAGGACACGGCCTGGACATGAGGGT...  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0  ATCACATAACAACCACATTCCTCCTCTAAAGAAGCCCCTGGGAGCA...   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0  AGGAGTCAGACCCTGTCAGGACACAGCATAGACATGAGGGTCCCCG...   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0  ACTGTGGGGGTAAGAGGTTGTGTCCACCATGGCCTGGACTCCTCTC...   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0  GGGAGCATCACCCAGCAACCACATCTGTCCTCTAGAGAATCCCCTG...   \n",
       "...                                                                          ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1  GGGAGAGCCCTGGGGAGGAACTGCTCAGTTAGGACCCAGAGGGAAC...   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1  GGGGTCACAAGAGGCAGCGCTCTCGGGACGTCTCCACCATGGCCTG...   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1  ATATTTCGTATCTGGGGAGTGACTCCTGTGCCCCACCATGGACACA...   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1  GGGAGAGCCCTGGGGAGGAACTGCTCAGTTAGGACCCAGAGGGAAC...   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1  GAGAGAGGAGCCTTAGCCCTGGATTCCAAGGCCTATCCACTTGGTG...   \n",
       "\n",
       "                                                                     sequence_aa   \n",
       "sequence_id                                                                        \n",
       "AAACCTGTCATATCGG-1_contig_1-0  MRVPAQLLGLLLLWLSGARCDIQMTQSPSSLSASVGDRVTITCQAT...  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0  MDWTWRFLFVVAAATGVQSQVQLVQSGAEVKKPGSSVKVSCKASGG...   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0  MRVPAQLLGLLLLWLPGARCAIRMTQSPSSFSASTGDRVTITCRAS...   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0  MAWTPLLLLFLSHCTGSLSQAVLTQPSSLSASPGASGRLTCTLRSD...   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0  MDWTWRILFLVAAATGAHSQVQLVQSGGEVKKPGASVKVSCKASGY...   \n",
       "...                                                                          ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1  MEAPAQLLFLLLLWLPDTTGEIVLTQSPATLSLSPGERATLSCRAS...   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1  MAWALLLLTLLTQDTGSWAQSALTQPASVSGSPGQSITISCTGTSS...   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1  MDTLCSTLLLLTIPSWVLSQITLKESGPTLVKPTQTLTLTCTFSGF...   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1  MEAPAQLLFLLLLWLPDTTGEIVLTQSPATLSLSPGERATLSCRAS...   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1  MELGLRWVFLVAILEGVQCEVQLVESGGGLVKPGGSLRLSCAASGF...   \n",
       "\n",
       "                              productive rev_comp     v_call      v_cigar   \n",
       "sequence_id                                                                 \n",
       "AAACCTGTCATATCGG-1_contig_1-0          T        F    IGKV1-8  38S314M204S  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0          T        F  IGHV1-69D  58S353M154S   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0          T        F    IGKV1-8  33S345M173S   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0          T        F   IGLV5-45  28S369M245S   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0          T        F    IGHV1-2  64S353M133S   \n",
       "...                                  ...      ...        ...          ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1          T        F   IGKV3-11  47S345M170S   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1          T        F   IGLV2-23  38S340M262S   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1          T        F    IGHV2-5  37S358M122S   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1          T        F   IGKV3-11  47S345M176S   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1          T        F   IGHV3-21  73S353M145S   \n",
       "\n",
       "                                 d_call      d_cigar  ... d_sequence_end   \n",
       "sequence_id                                           ...                  \n",
       "AAACCTGTCATATCGG-1_contig_1-0       NaN          NaN  ...            NaN  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0  IGHD3-22  411S31M123S  ...          442.0   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0       NaN          NaN  ...            NaN   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0       NaN          NaN  ...            NaN   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0       NaN          NaN  ...            NaN   \n",
       "...                                 ...          ...  ...            ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1       NaN          NaN  ...            NaN   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1       NaN          NaN  ...            NaN   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1       NaN          NaN  ...            NaN   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1       NaN          NaN  ...            NaN   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1       NaN          NaN  ...            NaN   \n",
       "\n",
       "                              j_sequence_start j_sequence_end   \n",
       "sequence_id                                                     \n",
       "AAACCTGTCATATCGG-1_contig_1-0              384            420  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0              445            494   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0              378            415   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0              394            431   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0              430            479   \n",
       "...                                        ...            ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1              389            426   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1              392            429   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1              399            446   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1              396            432   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1              448            500   \n",
       "\n",
       "                              c_sequence_start c_sequence_end consensus_count   \n",
       "sequence_id                                                                     \n",
       "AAACCTGTCATATCGG-1_contig_1-0              421            556            9139  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0              495            565            4161   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0              416            551            5679   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0              432            642           13160   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0              480            550            5080   \n",
       "...                                        ...            ...             ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1              427            562           11867   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1              430            640            6497   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1              447            517            3530   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1              433            568            3058   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1              501            571            1026   \n",
       "\n",
       "                              duplicate_count is_cell  locus   \n",
       "sequence_id                                                    \n",
       "AAACCTGTCATATCGG-1_contig_1-0              68       T    IGK  \\\n",
       "AAACCTGTCCGTTGTC-1_contig_2-0              51       T    IGH   \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0              43       T    IGK   \n",
       "AAACCTGTCGAGAACG-1_contig_1-0              90       T    IGL   \n",
       "AAACCTGTCGAGAACG-1_contig_2-0              47       T    IGH   \n",
       "...                                       ...     ...    ...   \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1              73       T    IGK   \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1              58       T    IGL   \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1              33       T    IGH   \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1              22       T    IGK   \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1              12       T    IGH   \n",
       "\n",
       "                               rearrangement_status  \n",
       "sequence_id                                          \n",
       "AAACCTGTCATATCGG-1_contig_1-0              standard  \n",
       "AAACCTGTCCGTTGTC-1_contig_2-0              standard  \n",
       "AAACCTGTCCGTTGTC-1_contig_1-0              standard  \n",
       "AAACCTGTCGAGAACG-1_contig_1-0              standard  \n",
       "AAACCTGTCGAGAACG-1_contig_2-0              standard  \n",
       "...                                             ...  \n",
       "TTTGGTTTCAGAGCTT-1_contig_2-1              standard  \n",
       "TTTGGTTTCAGTGTTG-1_contig_1-1              standard  \n",
       "TTTGGTTTCAGTGTTG-1_contig_2-1              standard  \n",
       "TTTGGTTTCGGTGTCG-1_contig_2-1              standard  \n",
       "TTTGGTTTCGGTGTCG-1_contig_1-1              standard  \n",
       "\n",
       "[4186 rows x 33 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vdj_merged.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>locus_VDJ</th>\n",
       "      <th>locus_VJ</th>\n",
       "      <th>productive_VDJ</th>\n",
       "      <th>productive_VJ</th>\n",
       "      <th>v_call_VDJ</th>\n",
       "      <th>d_call_VDJ</th>\n",
       "      <th>j_call_VDJ</th>\n",
       "      <th>v_call_VJ</th>\n",
       "      <th>j_call_VJ</th>\n",
       "      <th>c_call_VDJ</th>\n",
       "      <th>...</th>\n",
       "      <th>d_call_B_VDJ_main</th>\n",
       "      <th>j_call_B_VDJ_main</th>\n",
       "      <th>v_call_B_VJ_main</th>\n",
       "      <th>j_call_B_VJ_main</th>\n",
       "      <th>isotype</th>\n",
       "      <th>isotype_status</th>\n",
       "      <th>locus_status</th>\n",
       "      <th>chain_status</th>\n",
       "      <th>rearrangement_status_VDJ</th>\n",
       "      <th>rearrangement_status_VJ</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>run1_AAACCTGTCATATCGG-1</th>\n",
       "      <td>None</td>\n",
       "      <td>IGK</td>\n",
       "      <td>None</td>\n",
       "      <td>T</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IGKV1-8</td>\n",
       "      <td>IGKJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IGKV1-8</td>\n",
       "      <td>IGKJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Orphan IGK</td>\n",
       "      <td>Orphan VJ</td>\n",
       "      <td>None</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run1_AAACCTGTCCGTTGTC-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>IGK</td>\n",
       "      <td>T</td>\n",
       "      <td>T</td>\n",
       "      <td>IGHV1-69D</td>\n",
       "      <td>IGHD3-22</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGKV1-8</td>\n",
       "      <td>IGKJ1</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>IGHD3-22</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGKV1-8</td>\n",
       "      <td>IGKJ1</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IGH + IGK</td>\n",
       "      <td>Single pair</td>\n",
       "      <td>standard</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run1_AAACCTGTCGAGAACG-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>IGL</td>\n",
       "      <td>T</td>\n",
       "      <td>T</td>\n",
       "      <td>IGHV1-2</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGLV5-45</td>\n",
       "      <td>IGLJ3</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGLV5-45</td>\n",
       "      <td>IGLJ3</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IGH + IGL</td>\n",
       "      <td>Single pair</td>\n",
       "      <td>standard</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run1_AAACCTGTCTTGAGAC-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>IGK</td>\n",
       "      <td>T</td>\n",
       "      <td>T</td>\n",
       "      <td>IGHV5-51</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGKV1D-8</td>\n",
       "      <td>IGKJ2</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGKV1D-8</td>\n",
       "      <td>IGKJ2</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IGH + IGK</td>\n",
       "      <td>Single pair</td>\n",
       "      <td>standard</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run1_AAACGGGAGCGACGTA-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>IGL</td>\n",
       "      <td>T</td>\n",
       "      <td>T</td>\n",
       "      <td>IGHV4-59</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGLV3-19</td>\n",
       "      <td>IGLJ2</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>IGLV3-19</td>\n",
       "      <td>IGLJ2</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IGH + IGL</td>\n",
       "      <td>Single pair</td>\n",
       "      <td>standard</td>\n",
       "      <td>standard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run2_ACGTCAAAGTTTCCTT-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>None</td>\n",
       "      <td>T</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHV3-21</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>Orphan IGH</td>\n",
       "      <td>Orphan VDJ</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run2_CACTCCACAGATGGCA-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>None</td>\n",
       "      <td>T</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHV5-51</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ5</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ5</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>Orphan IGH</td>\n",
       "      <td>Orphan VDJ</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run2_CGGTTAAGTTTCGCTC-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>None</td>\n",
       "      <td>T</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHV1-69D</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>Orphan IGH</td>\n",
       "      <td>Orphan VDJ</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run2_GTATCTTTCGAGAGCA-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>None</td>\n",
       "      <td>T</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHV3-23</td>\n",
       "      <td>IGHD3-3</td>\n",
       "      <td>IGHJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHD</td>\n",
       "      <td>...</td>\n",
       "      <td>IGHD3-3</td>\n",
       "      <td>IGHJ4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IgD</td>\n",
       "      <td>IgD</td>\n",
       "      <td>Orphan IGH</td>\n",
       "      <td>Orphan VDJ</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>run2_TGACTTTGTTATCGGT-1</th>\n",
       "      <td>IGH</td>\n",
       "      <td>None</td>\n",
       "      <td>T</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHV1-69D</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHM</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>IGHJ3</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>IgM</td>\n",
       "      <td>IgM</td>\n",
       "      <td>Orphan IGH</td>\n",
       "      <td>Orphan VDJ</td>\n",
       "      <td>standard</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1988 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        locus_VDJ locus_VJ productive_VDJ productive_VJ   \n",
       "run1_AAACCTGTCATATCGG-1      None      IGK           None             T  \\\n",
       "run1_AAACCTGTCCGTTGTC-1       IGH      IGK              T             T   \n",
       "run1_AAACCTGTCGAGAACG-1       IGH      IGL              T             T   \n",
       "run1_AAACCTGTCTTGAGAC-1       IGH      IGK              T             T   \n",
       "run1_AAACGGGAGCGACGTA-1       IGH      IGL              T             T   \n",
       "...                           ...      ...            ...           ...   \n",
       "run2_ACGTCAAAGTTTCCTT-1       IGH     None              T          None   \n",
       "run2_CACTCCACAGATGGCA-1       IGH     None              T          None   \n",
       "run2_CGGTTAAGTTTCGCTC-1       IGH     None              T          None   \n",
       "run2_GTATCTTTCGAGAGCA-1       IGH     None              T          None   \n",
       "run2_TGACTTTGTTATCGGT-1       IGH     None              T          None   \n",
       "\n",
       "                        v_call_VDJ d_call_VDJ j_call_VDJ v_call_VJ j_call_VJ   \n",
       "run1_AAACCTGTCATATCGG-1       None       None       None   IGKV1-8     IGKJ4  \\\n",
       "run1_AAACCTGTCCGTTGTC-1  IGHV1-69D   IGHD3-22      IGHJ3   IGKV1-8     IGKJ1   \n",
       "run1_AAACCTGTCGAGAACG-1    IGHV1-2       None      IGHJ3  IGLV5-45     IGLJ3   \n",
       "run1_AAACCTGTCTTGAGAC-1   IGHV5-51       None      IGHJ3  IGKV1D-8     IGKJ2   \n",
       "run1_AAACGGGAGCGACGTA-1   IGHV4-59       None      IGHJ3  IGLV3-19     IGLJ2   \n",
       "...                            ...        ...        ...       ...       ...   \n",
       "run2_ACGTCAAAGTTTCCTT-1   IGHV3-21       None      IGHJ4      None      None   \n",
       "run2_CACTCCACAGATGGCA-1   IGHV5-51       None      IGHJ5      None      None   \n",
       "run2_CGGTTAAGTTTCGCTC-1  IGHV1-69D       None      IGHJ4      None      None   \n",
       "run2_GTATCTTTCGAGAGCA-1   IGHV3-23    IGHD3-3      IGHJ4      None      None   \n",
       "run2_TGACTTTGTTATCGGT-1  IGHV1-69D       None      IGHJ3      None      None   \n",
       "\n",
       "                        c_call_VDJ  ... d_call_B_VDJ_main j_call_B_VDJ_main   \n",
       "run1_AAACCTGTCATATCGG-1       None  ...              None              None  \\\n",
       "run1_AAACCTGTCCGTTGTC-1       IGHM  ...          IGHD3-22             IGHJ3   \n",
       "run1_AAACCTGTCGAGAACG-1       IGHM  ...              None             IGHJ3   \n",
       "run1_AAACCTGTCTTGAGAC-1       IGHM  ...              None             IGHJ3   \n",
       "run1_AAACGGGAGCGACGTA-1       IGHM  ...              None             IGHJ3   \n",
       "...                            ...  ...               ...               ...   \n",
       "run2_ACGTCAAAGTTTCCTT-1       IGHM  ...              None             IGHJ4   \n",
       "run2_CACTCCACAGATGGCA-1       IGHM  ...              None             IGHJ5   \n",
       "run2_CGGTTAAGTTTCGCTC-1       IGHM  ...              None             IGHJ4   \n",
       "run2_GTATCTTTCGAGAGCA-1       IGHD  ...           IGHD3-3             IGHJ4   \n",
       "run2_TGACTTTGTTATCGGT-1       IGHM  ...              None             IGHJ3   \n",
       "\n",
       "                        v_call_B_VJ_main j_call_B_VJ_main isotype   \n",
       "run1_AAACCTGTCATATCGG-1          IGKV1-8            IGKJ4    None  \\\n",
       "run1_AAACCTGTCCGTTGTC-1          IGKV1-8            IGKJ1     IgM   \n",
       "run1_AAACCTGTCGAGAACG-1         IGLV5-45            IGLJ3     IgM   \n",
       "run1_AAACCTGTCTTGAGAC-1         IGKV1D-8            IGKJ2     IgM   \n",
       "run1_AAACGGGAGCGACGTA-1         IGLV3-19            IGLJ2     IgM   \n",
       "...                                  ...              ...     ...   \n",
       "run2_ACGTCAAAGTTTCCTT-1             None             None     IgM   \n",
       "run2_CACTCCACAGATGGCA-1             None             None     IgM   \n",
       "run2_CGGTTAAGTTTCGCTC-1             None             None     IgM   \n",
       "run2_GTATCTTTCGAGAGCA-1             None             None     IgD   \n",
       "run2_TGACTTTGTTATCGGT-1             None             None     IgM   \n",
       "\n",
       "                        isotype_status locus_status chain_status   \n",
       "run1_AAACCTGTCATATCGG-1           None   Orphan IGK    Orphan VJ  \\\n",
       "run1_AAACCTGTCCGTTGTC-1            IgM    IGH + IGK  Single pair   \n",
       "run1_AAACCTGTCGAGAACG-1            IgM    IGH + IGL  Single pair   \n",
       "run1_AAACCTGTCTTGAGAC-1            IgM    IGH + IGK  Single pair   \n",
       "run1_AAACGGGAGCGACGTA-1            IgM    IGH + IGL  Single pair   \n",
       "...                                ...          ...          ...   \n",
       "run2_ACGTCAAAGTTTCCTT-1            IgM   Orphan IGH   Orphan VDJ   \n",
       "run2_CACTCCACAGATGGCA-1            IgM   Orphan IGH   Orphan VDJ   \n",
       "run2_CGGTTAAGTTTCGCTC-1            IgM   Orphan IGH   Orphan VDJ   \n",
       "run2_GTATCTTTCGAGAGCA-1            IgD   Orphan IGH   Orphan VDJ   \n",
       "run2_TGACTTTGTTATCGGT-1            IgM   Orphan IGH   Orphan VDJ   \n",
       "\n",
       "                        rearrangement_status_VDJ rearrangement_status_VJ  \n",
       "run1_AAACCTGTCATATCGG-1                     None                standard  \n",
       "run1_AAACCTGTCCGTTGTC-1                 standard                standard  \n",
       "run1_AAACCTGTCGAGAACG-1                 standard                standard  \n",
       "run1_AAACCTGTCTTGAGAC-1                 standard                standard  \n",
       "run1_AAACGGGAGCGACGTA-1                 standard                standard  \n",
       "...                                          ...                     ...  \n",
       "run2_ACGTCAAAGTTTCCTT-1                 standard                    None  \n",
       "run2_CACTCCACAGATGGCA-1                 standard                    None  \n",
       "run2_CGGTTAAGTTTCGCTC-1                 standard                    None  \n",
       "run2_GTATCTTTCGAGAGCA-1                 standard                    None  \n",
       "run2_TGACTTTGTTATCGGT-1                 standard                    None  \n",
       "\n",
       "[1988 rows x 44 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vdj_merged.metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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