{
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  "Title": "Tools for Omics Data Analysis",
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  "Authors@R": "c(person(given = \"Pol\",\nfamily = \"Castellano-Escuder\",\nrole = c(\"aut\", \"cre\"),\nemail = \"polcaes@gmail.com\",\ncomment = c(ORCID = \"0000-0001-6466-877X\"))\n)",
  "Description": "The POMA package offers a comprehensive toolkit designed\nfor omics data analysis, streamlining the process from initial\nvisualization to final statistical analysis. Its primary goal\nis to simplify and unify the various steps involved in omics\ndata processing, making it more accessible and manageable\nwithin a single, intuitive R package. Emphasizing on\nreproducibility and user-friendliness, POMA leverages the\nstandardized SummarizedExperiment class from Bioconductor,\nensuring seamless integration and compatibility with a wide\narray of Bioconductor tools. This approach guarantees maximum\nflexibility and replicability, making POMA an essential asset\nfor researchers handling omics datasets. See\nhttps://github.com/pcastellanoescuder/POMAShiny. Paper:\nCastellano-Escuder et al. (2021)\n<doi:10.1371/journal.pcbi.1009148> for more details.",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:53:17 UTC",
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