This is the released version of SeqSQC; for the devel version, see SeqSQC.
A bioconductor package for sample quality check with next generation sequencing dataBioconductor version: Release (3.21)
The SeqSQC is designed to identify problematic samples in NGS data, including samples with gender mismatch, contamination, cryptic relatedness, and population outlier.
Author: Qian Liu [aut, cre]
Maintainer: Qian Liu <qliu7 at buffalo.edu>
Citation (from within R, entercitation("SeqSQC")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SeqSQC")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SeqSQC")
Sample Quality Check for Next-Generation Sequencing Data with SeqSQC HTML R Script Reference Manual PDF NEWS Text Details biocViews Experiment Data, Genome, Homo_sapiens_Data, Project1000genomes, Sequencing Data, Software Version 1.30.0 In Bioconductor since BioC 3.6 (R-3.4) (7.5 years) License GPL-3 Depends R (>= 3.4), ExperimentHub(>= 1.3.7), SNPRelate(>= 1.10.2) Imports e1071, GenomicRanges, gdsfmt, ggplot2, GGally, IRanges, methods, plotly, RColorBrewer, reshape2, rmarkdown, S4Vectors, stats, utils System Requirements URL https://github.com/Liubuntu/SeqSQC Bug Reports https://github.com/Liubuntu/SeqSQC/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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