SeqSQC
This is the development version of SeqSQC; for the stable release version, see SeqSQC.
A bioconductor package for sample quality check with next generation sequencing data
Bioconductor version: Development (3.23)
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, enter 
  citation("SeqSQC")):
      
    Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SeqSQC")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual | 
Details
| biocViews | Experiment Data, Genome, Homo_sapiens_Data, Project1000genomes, Sequencing Data, Software | 
| Version | 1.33.0 | 
| In Bioconductor since | BioC 3.6 (R-3.4) (8 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
| Suggests | BiocStyle, knitr, testthat | 
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report | 
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/SeqSQC | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SeqSQC | 
| Package Short Url | https://bioconductor.org/packages/SeqSQC/ | 
| Package Downloads Report | Download Stats |