{
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  "Package": "dmrseq",
  "Type": "Package",
  "Title": "Detection and inference of differentially methylated regions\nfrom Whole Genome Bisulfite Sequencing",
  "Version": "1.33.0",
  "Authors@R": "c(person(\"Keegan\", \"Korthauer\", role = c(\"cre\", \"aut\"), \nemail = \"keegan@stat.ubc.ca\",\ncomment = c(ORCID = \"0000-0002-4565-1654\")),\nperson(\"Rafael\", \"Irizarry\", role = \"aut\",\nemail = \"rafa@jimmy.harvard.edu\",\ncomment = c(ORCID = \"0000-0002-3944-4309\")),\nperson(\"Yuval\", \"Benjamini\", role = \"aut\"),\nperson(\"Sutirtha\", \"Chakraborty\", role = \"aut\"))",
  "Description": "This package implements an approach for scanning the\ngenome to detect and perform accurate inference on\ndifferentially methylated regions from Whole Genome Bisulfite\nSequencing data. The method is based on comparing detected\nregions to a pooled null distribution, that can be implemented\neven when as few as two samples per population are available.\nRegion-level statistics are obtained by fitting a generalized\nleast squares (GLS) regression model with a nested\nautoregressive correlated error structure for the effect of\ninterest on transformed methylation proportions.",
  "License": "MIT + file LICENSE",
  "biocViews": "ImmunoOncology, DNAMethylation, Epigenetics,\nMultipleComparison, Software, Sequencing,\nDifferentialMethylation, WholeGenome, Regression,\nFunctionalGenomics",
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  "Date/Publication": "2026-04-28 12:47:22 UTC",
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