BatchQC
This is the development version of BatchQC; for the stable release version, see BatchQC.
Batch Effects Quality Control Software
Bioconductor version: Development (3.18)
Sequencing and microarray samples often are collected or processed in multiple batches or at different times. This often produces technical biases that can lead to incorrect results in the downstream analysis. BatchQC is a software tool that streamlines batch preprocessing and evaluation by providing interactive diagnostics, visualizations, and statistical analyses to explore the extent to which batch variation impacts the data. BatchQC diagnostics help determine whether batch adjustment needs to be done, and how correction should be applied before proceeding with a downstream analysis. Moreover, BatchQC interactively applies multiple common batch effect approaches to the data, and the user can quickly see the benefits of each method. BatchQC is developed as a Shiny App. The output is organized into multiple tabs, and each tab features an important part of the batch effect analysis and visualization of the data. The BatchQC interface has the following analysis groups: Summary, Differential Expression, Median Correlations, Heatmaps, Circular Dendrogram, PCA Analysis, Shape, ComBat and SVA.
Author: Solaiappan Manimaran <manimaran_1975 at hotmail.com>, W. Evan Johnson <wej at bu.edu>, Heather Selby <selbyh at bu.edu>, Claire Ruberman <claireruberman at gmail.com>, Kwame Okrah <kwame.okrah at gmail.com>, Hector Corrada Bravo <hcorrada at gmail.com>
Maintainer: Solaiappan Manimaran <manimaran_1975 at hotmail.com>
citation("BatchQC")):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("BatchQC")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("BatchQC")| BatchQC_examples | HTML | |
| BatchQC_usage_advanced | R Script | |
| BatchQCIntro | HTML | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | BatchEffect, DifferentialExpression, GraphAndNetwork, ImmunoOncology, Microarray, Preprocessing, PrincipalComponent, QualityControl, RNASeq, Sequencing, Software, Visualization |
| Version | 1.29.0 |
| In Bioconductor since | BioC 3.3 (R-3.3) (7.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 3.5.0) |
| Imports | utils, rmarkdown, knitr, pander, gplots, MCMCpack, shiny, sva, corpcor, moments, matrixStats, ggvis, heatmaply, reshape2, limma, grDevices, graphics, stats, methods, Matrix |
| Linking To | |
| Suggests | testthat |
| System Requirements | pandoc (http://pandoc.org/installing.html) for generating reports from markdown files. |
| Enhances | |
| URL | https://github.com/mani2012/BatchQC |
| Bug Reports | https://github.com/mani2012/BatchQC/issues |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | BatchQC_1.29.0.tar.gz |
| Windows Binary | BatchQC_1.29.0.zip |
| macOS Binary (x86_64) | BatchQC_1.29.0.tgz |
| macOS Binary (arm64) | BatchQC_1.29.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/BatchQC |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BatchQC |
| Bioc Package Browser | https://code.bioconductor.org/browse/BatchQC/ |
| Package Short Url | https://bioconductor.org/packages/BatchQC/ |
| Package Downloads Report | Download Stats |