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SeqArray

Data management of large-scale whole-genome sequence variant calls using GDS files

Bioconductor version: 3.23 · Package version: 1.52.1

Data management of large-scale whole-genome sequencing variant calls with thousands of individuals: genotypic data (e.g., SNVs, indels and structural variation calls) and annotations in SeqArray GDS files are stored in an array-oriented and compressed manner, with efficient data access using the R programming language.

Installation

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

BiocManager::install("SeqArray")

Details

MaintainerXiuwen Zheng <zhengx@u.washington.edu>
AuthorXiuwen Zheng [aut, cre] (ORCID: <https://orcid.org/0000-0002-1390-0708>), Stephanie Gogarten [aut], David Levine [ctb], Cathy Laurie [ctb]
LicenseGPL-3
URLhttps://github.com/zhengxwen/SeqArray
Bug Reportshttps://github.com/zhengxwen/SeqArray/issues
Downloads rank1311
Source branchRELEASE_3_23
biocViewsDataRepresentation, Genetics, Infrastructure, Sequencing, Software

Documentation

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Dependencies

Depends: R (>= 3.5.0), gdsfmt (>= 1.31.1)

Imports: methods, parallel, digest, S4Vectors, IRanges, GenomicRanges, Seqinfo, Biostrings

LinkingTo: gdsfmt

Suggests: Biobase, BiocGenerics, BiocParallel, RUnit, Rcpp, SNPRelate, crayon, knitr, markdown, rmarkdown, Rsamtools, VariantAnnotation

Reverse dependencies

Depends On Me (3): GBScleanR, SAIGEgds, SeqVarTools

Imports Me (4): GDSArray, GENESIS, ggmanh, VariantExperiment

Suggests Me (5): DelayedDataFrame, GMMAT, HIBAG, MAGEE, VCFArray