{
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  "Package": "DESNP",
  "Type": "Package",
  "Title": "Differentially Expressed Single Nucleotide Polymorphism",
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  "Authors@R": "c(\nperson(\"Sayanti\", \"Guha Majumdar\", role = c(\"aut\", \"cre\"), email = \"sayanti23gm@gmail.com\"),\nperson(\"Saima\", \"Bano\", role = \"aut\", email = \"saimabano291019@gmail.com\"),\nperson(\"Nandita\", \"Banerjee\", role = \"aut\", email = \"nanditapatra@gmail.com\"),\nperson(\"Rahul Kumar\", \"Tiwari\", role = \"aut\", email = \"rahultiwari226@gmail.com\"),\nperson(\"Dipro\", \"Sinha\", role = \"aut\", email = \"diprosinha@gmail.com\"),\nperson(\"Subham\", \"Ghosh\", role = \"aut\", email = \"search4aghosh@gmail.com\"),\nperson(\"Sanjeev\", \"Kumar\", role = \"aut\", email = \"sanjeeviivr@gmail.com\")\n)",
  "Maintainer": "Sayanti Guha Majumdar <sayanti23gm@gmail.com>",
  "Description": "Provides a framework for the identification and analysis\nof Differentially Expressed Single Nucleotide Polymorphisms\n(deSNPs) using high-throughput sequencing data. It enables\nusers to import SNP count data from variant files, perform\nallele-specific read count extraction, and statistically detect\nSNPs showing significant differences in allele expression\nbetween biological conditions or sample groups. This package\ncontains tools for calculating SNP-index and Delta SNP-index\nfrom VCF-derived allele depth data with statistical testing and\nfiltering, including sliding-window analysis of genomic\nregions.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-19 05:49:38 UTC",
    "User": "root"
  },
  "RoxygenNote": "7.3.3",
  "Author": "Sayanti Guha Majumdar [aut, cre], Saima Bano [aut], Nandita\nBanerjee [aut], Rahul Kumar Tiwari [aut], Dipro Sinha [aut],\nSubham Ghosh [aut], Sanjeev Kumar [aut]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-03-19 15:00:22 UTC",
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  "_assets": [
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      "page": "DeltaSNPindex",
      "title": "Compute Delta SNP-index",
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