{
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  "Package": "Uniquorn",
  "Title": "Identification of cancer cell lines based on their weighted\nmutational/ variational fingerprint",
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  "Authors@R": "person(\"Raik\", \"Otto\", email = \"raik.otto@hu-berlin.de\", role = c(\"aut\", \"cre\"))",
  "Description": "'Uniquorn' enables users to identify cancer cell lines.\nCancer cell line misidentification and cross-contamination\nreprents a significant challenge for cancer researchers. The\nidentification is vital and in the frame of this package based\non the locations/ loci of somatic and germline mutations/\nvariations. The input format is vcf/ vcf.gz and the files have\nto contain a single cancer cell line sample (i.e. a single\nmember/genotype/gt column in the vcf file).",
  "License": "Artistic-2.0",
  "Type": "Package",
  "Date": "2025-10-22",
  "Author": "Raik Otto",
  "RoxygenNote": "7.2.3",
  "NeedsCompilation": "no",
  "biocViews": "ImmunoOncology, StatisticalMethod, WholeGenome, ExomeSeq",
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  "Encoding": "UTF-8",
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  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 12:42:52 UTC",
  "RemoteUrl": "https://github.com/bioc/Uniquorn",
  "RemoteRef": "RELEASE_3_23",
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    "Date": "2026-05-30 10:56:35 UTC",
    "User": "root"
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  "Maintainer": "Raik Otto <raik.otto@hu-berlin.de>",
  "MD5sum": "1c21eb970514d6fa27a73418c0bd58eb",
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    "email": "raik.otto@hu-berlin.de",
    "login": "raikotto",
    "description": "Bioinformatician with specialisation in Machine-Learning ",
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    "exomeseq"
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    "type": "organization",
    "name": "Bioconductor",
    "description": "Software for the analysis and comprehension of high-throughput genomic data"
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    "source": "https://www.bioconductor.org/packages/stats/bioc/Uniquorn"
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  "_cranurl": false,
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    "identify_vcf_file",
    "initiate_canonical_databases",
    "read_library_names",
    "remove_ccls_from_database",
    "remove_library_from_database",
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    "show_contained_variants_for_ccl",
    "show_contained_variants_in_library",
    "show_which_ccls_contain_variant"
  ],
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      "page": "add_custom_vcf_to_database",
      "title": "add_custom_vcf_to_database This function adds the variants of parsed custom CCLs to a monet DB instance",
      "topics": [
        "add_custom_vcf_to_database"
      ]
    },
    {
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      "title": "add_missing_cls",
      "topics": [
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      ]
    },
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      "title": "add_p_q_values_statistics",
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    },
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      "title": "add_penalty_statistics",
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    },
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      "title": "create_bed_file",
      "topics": [
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      ]
    },
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      "title": "identify_VCF_file",
      "topics": [
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      ]
    },
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      "title": "init_and_load_identification",
      "topics": [
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    },
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      "title": "initiate_canonical_databases",
      "topics": [
        "initiate_canonical_databases"
      ]
    },
    {
      "page": "match_query_ccl_to_database",
      "title": "match_query_ccl_to_database",
      "topics": [
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      ]
    },
    {
      "page": "parse_vcf_file",
      "title": "Filter Parsed VCF Files",
      "topics": [
        "parse_vcf_file"
      ]
    },
    {
      "page": "parse_vcf_query_into_db",
      "title": "parse_vcf_query_into_db This function adds the variants of parsed custom CCLs to a monet DB instance",
      "topics": [
        "parse_vcf_query_into_db"
      ]
    },
    {
      "page": "read_library_names",
      "title": "Library Name Reader",
      "topics": [
        "read_library_names"
      ]
    },
    {
      "page": "read_mutation_grange_objects",
      "title": "read_mutation_grange_objects",
      "topics": [
        "read_mutation_grange_objects"
      ]
    },
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      "title": "Remove Cancer Cell Line",
      "topics": [
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      ]
    },
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      "title": "Remove entire Library from Database",
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    },
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      "topics": [
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      "title": "Variants In Cancer Cell Line",
      "topics": [
        "show_contained_variants_for_ccl"
      ]
    },
    {
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      "title": "All variants contained in reference library",
      "topics": [
        "show_contained_variants_in_library"
      ]
    },
    {
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      "title": "Cancer cell lines with specific variant",
      "topics": [
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      ]
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