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The\ngdsfmt package offers the efficient operations specifically\ndesigned for integers of less than 8 bits, since a diploid\ngenotype, like single-nucleotide polymorphism (SNP), usually\noccupies fewer bits than a byte. Data compression and\ndecompression are available with relatively efficient random\naccess. It is also allowed to read a GDS file in parallel with\nmultiple R processes supported by the package parallel.", "License": "LGPL-3", "Copyright": "This package includes the sources of CoreArray C++ library\nwritten by Xiuwen Zheng (LGPL-3), zlib written by Jean-loup\nGailly and Mark Adler (zlib license), LZ4 written by Yann\nCollet (simplified BSD), and liblzma written by Lasse Collin\nand other xz contributors (public domain).", "VignetteBuilder": "knitr", "ByteCompile": "TRUE", "BugReports": "https://github.com/zhengxwen/gdsfmt/issues", "URL": "https://github.com/zhengxwen/gdsfmt", "biocViews": "Infrastructure, DataImport", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-11-01 03:00:57 UTC", "RemoteUrl": "https://github.com/bioc/gdsfmt", "RemoteRef": "HEAD", "RemoteSha": "2dcf3c3fa53a4db0df228a44d3151aa3b3008428", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-11-01 10:15:20 UTC", "User": "root" }, "_user": "bioc", "_type": "src", "_file": 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GDS node", "topics": [ "unload.gdsn" ] }, { "page": "write.gdsn", "title": "Write data to a GDS node", "topics": [ "write.gdsn" ] } ], "_readme": "https://github.com/bioc/gdsfmt/raw/HEAD/README.md", "_rundeps": [], "_sysdeps": [ { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "gdsfmt.Rmd", "filename": "gdsfmt.html", "title": "R Interface to CoreArray Genomic Data Structure (GDS) Files", "author": "Dr. Xiuwen Zheng", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Installation of the package gdsfmt", "High-level R functions", "Creating a GDS file and variable hierarchy", "Writing Data", "R function add.gdsn", "R function write.gdsn", "R function append.gdsn", "R function assign.gdsn", "Create a large-scale data set", "Reading Data", "Subset reading read.gdsn and readex.gdsn", "Apply a 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