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  "Title": "A Unified Data Layer for Large-Scale Single-Cell, Spatial and\nBulk Immunomics",
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  "Authors@R": "person(\"Vadim I.\", \"Nazarov\", , \"support@immunomind.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-3659-2709\"))",
  "Contact": "support@immunomind.com",
  "Description": "Provides a unified data layer for single-cell, spatial and\nbulk T-cell and B-cell immune receptor repertoire data. Think\nAnnData or SeuratObject, but for AIRR data, a.k.a. Adaptive\nImmune Receptor Repertoire, VDJ-seq, RepSeq, or VDJ sequencing\ndata.",
  "License": "Apache License (>= 2)",
  "URL": "https://immunomind.github.io/docs/,\nhttps://github.com/immunomind/immundata",
  "BugReports": "https://github.com/immunomind/immundata/issues",
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  "Date/Publication": "2025-10-09 13:29:45 UTC",
  "RemoteUrl": "https://github.com/immunomind/immundata",
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  "Maintainer": "Vadim I. Nazarov <support@immunomind.com>",
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    "make_exclude_columns",
    "make_productive_filter",
    "make_receptor_schema",
    "make_seq_options",
    "mutate_immundata",
    "read_immundata",
    "read_metadata",
    "read_repertoires",
    "test_receptor_schema",
    "write_immundata"
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      ]
    },
    {
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      "title": "Aggregate AIRR data into repertoires",
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        "aggregation"
      ],
      "topics": [
        "agg_repertoires"
      ]
    },
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        "Annotation",
        "annotation"
      ],
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        "annotate",
        "annotate_barcodes",
        "annotate_chains",
        "annotate_immundata",
        "annotate_receptors"
      ]
    },
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        "Annotation"
      ],
      "topics": [
        "annotate_seurat"
      ]
    },
    {
      "page": "count.ImmunData",
      "title": "Count the number of chains in ImmunData",
      "concept": [
        "operations"
      ],
      "topics": [
        "count.ImmunData"
      ]
    },
    {
      "page": "filter_immundata",
      "title": "Filter ImmunData by receptor features, barcodes or any annotations",
      "concept": [
        "filtering"
      ],
      "topics": [
        "filter.ImmunData",
        "filter_barcodes",
        "filter_immundata",
        "filter_receptors"
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        "imd_files",
        "imd_meta_schema",
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        "imd_receptor_features",
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      "topics": [
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        "make_default_postprocessing",
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        "mutate_immundata"
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