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Bioconductor - gdsfmt

gdsfmt

This is the released version of gdsfmt; for the devel version, see gdsfmt.

R Interface to CoreArray Genomic Data Structure (GDS) Files

Bioconductor version: Release (3.21)

Provides a high-level R interface to CoreArray Genomic Data Structure (GDS) data files. GDS is portable across platforms with hierarchical structure to store multiple scalable array-oriented data sets with metadata information. It is suited for large-scale datasets, especially for data which are much larger than the available random-access memory. The gdsfmt package offers the efficient operations specifically designed for integers of less than 8 bits, since a diploid genotype, like single-nucleotide polymorphism (SNP), usually occupies fewer bits than a byte. Data compression and decompression are available with relatively efficient random access. It is also allowed to read a GDS file in parallel with multiple R processes supported by the package parallel.

Author: Xiuwen Zheng [aut, cre] ORCID: 0000-0002-1390-0708 , Stephanie Gogarten [ctb], Jean-loup Gailly and Mark Adler [ctb] (for the included zlib sources), Yann Collet [ctb] (for the included LZ4 sources), xz contributors [ctb] (for the included liblzma sources)

Maintainer: Xiuwen Zheng <zhengx at u.washington.edu>

Citation (from within R, enter citation("gdsfmt")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("gdsfmt")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("gdsfmt")
Details See More Suggests parallel, digest, Matrix, crayon, RUnit, knitr, markdown, rmarkdown, BiocGenerics Linking To Enhances Depends On Me bigmelon, GDSArray, RAIDS, SAIGEgds, SCArray, SeqArray, SNPRelate Imports Me CNVRanger, GBScleanR, GENESIS, ggmanh, GWASTools, SCArray.sat, SeqSQC, SeqVarTools, VariantExperiment, EthSEQ, gwid, simplePHENOTYPES, snplinkage Suggests Me AnnotationHub, HIBAG Links To Me SeqArray, SNPRelate Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.


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