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BamScaleR provides user-friendly BAM\nread and scan interfaces designed for compatibility with\nexisting Bioconductor workflows.", "License": "MIT + file LICENSE", "biocViews": "Software, DataImport, Sequencing, Coverage, Alignment,\nQualityControl", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "SystemRequirements": "C++17, OpenMP", "NeedsCompilation": "yes", "URL": "https://cparsania.github.io/BamScaleR/", "BugReports": "https://github.com/cparsania/BamScaleR/issues", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "libbz2-dev liblzma-dev libssl-dev xz-utils\nzlib1g-dev", "Repository": "https://biocstaging.r-universe.dev", "Date/Publication": "2026-10-13 04:12:14 UTC", "RemoteUrl": "https://github.com/BiocStaging/BamScaleR", "RemoteRef": "HEAD", "RemoteSha": "5918290c5d218b00e29ac3e93a1f9e85e7e46817", "Packaged": { "Date": "2026-10-13 12:03:34 UTC", "User": "root" }, "Author": "Chirag Parsania [aut, cre]", "Maintainer": "Chirag Parsania ", "_user": "biocstaging", "_type": "src", "_file": "BamScaleR_0.99.2.tar.gz", "_fileid": "https://r2.ropensci.org/b430950375d26497efa35f3e0e7ccc1ce45b186fb8f533d669214c3eb18f7388", "_filesize": 1885669, "_sha256": "b430950375d26497efa35f3e0e7ccc1ce45b186fb8f533d669214c3eb18f7388", "_expires": "2027-01-21T12:18:21.000Z", "_created": "2026-10-13T12:03:34.000Z", "_published": "2026-10-13T12:18:23.128Z", "_buildurl": "https://github.com/r-universe/biocstaging/actions/runs/38394046489", "_status": "success", "_host": "GitHub-Actions", "_bioccheck": { "error": 0, "warning": 0, "note": 6 }, "_upstream": "https://github.com/BiocStaging/BamScaleR", "_commit": { "id": "5918290c5d218b00e29ac3e93a1f9e85e7e46817", "author": "Chirag Parsania ", "committer": "Chirag Parsania ", "message": "Docs: report the canonical 2026-10-08 benchmark run\n\nThe README and benchmark vignette carried numbers from a small early run that\ndisagreed with the measured results on the ENCODE corpus, in places by a wide\nmargin: GAlignments read speedup was advertised as 4.03x against a measured\n2.50x, and coverage to an in-memory RleList as 3.29x against 2.49x. 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