{ "_id": "6a1a7d5c1d7bb097a09d47be", "Package": "multiHiCcompare", "Title": "Normalize and detect differences between Hi-C datasets when\nreplicates of each experimental condition are available", "Version": "1.31.0", "Authors@R": "c(\nperson(given = \"Mikhail\",\nfamily = \"Dozmorov\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mikhail.dozmorov@gmail.com\",\ncomment = c(ORCID = \"0000-0002-0086-8358\")),\nperson(given = \"John\",\nfamily = \"Stansfield\",\nrole = c(\"aut\"),\nemail = \"stansfieldjc@vcu.edu\"))", "Description": "multiHiCcompare provides functions for joint normalization\nand difference detection in multiple Hi-C datasets. This\nextension of the original HiCcompare package now allows for\nHi-C experiments with more than 2 groups and multiple samples\nper group. multiHiCcompare operates on processed Hi-C data in\nthe form of sparse upper triangular matrices. It accepts four\ncolumn (chromosome, region1, region2, IF) tab-separated text\nfiles storing chromatin interaction matrices. multiHiCcompare\nprovides cyclic loess and fast loess (fastlo) methods adapted\nto jointly normalizing Hi-C data. Additionally, it provides a\ngeneral linear model (GLM) framework adapting the edgeR package\nto detect differences in Hi-C data in a distance dependent\nmanner.", "biocViews": "Software, HiC, Sequencing, Normalization", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "VignetteBuilder": "knitr", "BugReports": "https://github.com/dozmorovlab/multiHiCcompare/issues", "URL": "https://github.com/dozmorovlab/multiHiCcompare", "Config/pak/sysreqs": "libssl-dev zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:48:29 UTC", "RemoteUrl": "https://github.com/bioc/multiHiCcompare", "RemoteRef": "HEAD", "RemoteSha": "5d885b98a5aee3fd9ccebe55eb2c7882ff8f6b81", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-30 05:30:48 UTC", "User": "root" }, "Author": "Mikhail Dozmorov [aut, cre] (ORCID:\n),\nJohn Stansfield [aut]", "Maintainer": "Mikhail Dozmorov ", "MD5sum": "0827c05e98fe27ad8dbb4e419f935df0", 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