{
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  "Package": "mycobacrvR",
  "Type": "Package",
  "Title": "Integrative Immunoinformatics for Mycobacterial Diseases in R\nPlatform",
  "Version": "1.1",
  "Date": "2022-05-12",
  "Author": "Deepika Kulshreshtha, Rupanjali Chaudhuri, Surabhi Seth, S.\nRamachandran",
  "Maintainer": "S. Ramachandran<ramu@igib.in>",
  "Description": "The mycobacrvR package contains utilities to provide\ndetailed information for B cell and T cell epitopes for\npredicted adhesins from various servers such as ABCpred,\nBcepred, Bimas, Propred, NetMHC and IEDB. Please refer the URL\nbelow to download data files (data_mycobacrvR.zip) used in\nfunctions of this package.",
  "URL": "https://mycobacteriarv.igib.res.in/download.html",
  "Collate": "'iedb_consensus_mhci_nmer.R' 'abcpred_nmer.R' 'algpred.R'\n'allermatch.R' 'bcepred_nmer.R' 'bimas_nmer.R'\n'filter.firstlayer.R' 'iedb_arb_mhcii_nmer.R'\n'iedb_consensus_mhcii_nmer.R' 'netmhcNN_nmer.R'\n'netmhcWT_nmer.R' 'propred_nmer.R' 'iedb_arb_mhci_nmer.R'\n'zzz.R'",
  "License": "GPL-2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-14 08:33:50 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-05-13 13:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/mycobacrvR",
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    "author": "S. Ramachandran <ramu@igib.in>",
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    "message": "version 1.1\n",
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  "_maintainer": {
    "name": "S. Ramachandran",
    "email": "ramu@igib.in"
  },
  "_registered": true,
  "_dependencies": [
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      "package": "R",
      "version": ">= 2.15",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    }
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_userbio": {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 154,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mycobacrvR"
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  "_searchresults": 13,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mycobacrvR.html",
    "manual.pdf"
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    "bcepred_nmer",
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    "iedb_arb_mhcii_nmer",
    "iedb_consensus_mhci_nmer",
    "iedb_consensus_mhcii_nmer",
    "netmhcNN_nmer",
    "netmhcWT_nmer",
    "propred_nmer"
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    {
      "page": "abcpred_nmer",
      "title": "Epitope conservation prediction from ABCpred server information",
      "topics": [
        "abcpred_nmer"
      ]
    },
    {
      "page": "algpred",
      "title": "Filter Allergic/Non Allergic proteins using output of Algpred",
      "topics": [
        "algpred"
      ]
    },
    {
      "page": "allermatch",
      "title": "Filter Allergic/Non Allergic proteins using output of Allermatch",
      "topics": [
        "allermatch"
      ]
    },
    {
      "page": "bcepred_nmer",
      "title": "Epitope conservation prediction from Bcepred server information",
      "topics": [
        "bcepred_nmer"
      ]
    },
    {
      "page": "bimas_nmer",
      "title": "Epitope prediction from Bimas server information",
      "topics": [
        "bimas_nmer"
      ]
    },
    {
      "page": "filter.firstlayer",
      "title": "Filter first layer data",
      "topics": [
        "filter.firstlayer"
      ]
    },
    {
      "page": "iedb_arb_mhci_nmer",
      "title": "Epitope conservation prediction for MHCI using IEDB-ARB server information",
      "topics": [
        "iedb_arb_mhci_nmer"
      ]
    },
    {
      "page": "iedb_arb_mhcii_nmer",
      "title": "Epitope conservation prediction for MHCII using IEDB-ARB server information",
      "topics": [
        "iedb_arb_mhcii_nmer"
      ]
    },
    {
      "page": "iedb_consensus_mhci_nmer",
      "title": "Epitope conservation prediction for MHCI using IEDB-consensus information",
      "topics": [
        "iedb_consensus_mhci_nmer"
      ]
    },
    {
      "page": "iedb_consensus_mhcii_nmer",
      "title": "Epitope conservation prediction for MHCII using IEDB-consensus information",
      "topics": [
        "iedb_consensus_mhcii_nmer"
      ]
    },
    {
      "page": "netmhcNN_nmer",
      "title": "Epitope conservation prediction from NetMHC server 3.0 using artificial neural networks (ANNs)",
      "topics": [
        "netmhcNN_nmer"
      ]
    },
    {
      "page": "netmhcWT_nmer",
      "title": "Epitope conservation prediction from NetMHC server 3.0 using weight matrices",
      "topics": [
        "netmhcWT_nmer"
      ]
    },
    {
      "page": "propred_nmer",
      "title": "Epitope conservation prediction from Propred server information",
      "topics": [
        "propred_nmer"
      ]
    }
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  "_nocasepkg": "mycobacrvr",
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