ATACCoGAPS

DOI: 10.18129/B9.bioc.ATACCoGAPS  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see ATACCoGAPS.

Analysis Tools for scATACseq Data with CoGAPS

Bioconductor version: 3.17

Provides tools for running the CoGAPS algorithm (Fertig et al, 2010) on single-cell ATAC sequencing data and analysis of the results. Can be used to perform analyses at the level of genes, motifs, TFs, or pathways. Additionally provides tools for transfer learning and data integration with single-cell RNA sequencing data.

Author: Rossin Erbe [aut, cre]

Maintainer: Rossin Erbe <rerbe1 at jhmi.edu>

Citation (from within R, enter citation("ATACCoGAPS")):

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("ATACCoGAPS")

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("ATACCoGAPS")

 

HTML R Script ATACCoGAPS
PDF   Reference Manual
Text   NEWS

Details

biocViews Bayesian, Clustering, DimensionReduction, Epigenetics, ResearchField, SingleCell, Software, Transcription
Version 1.2.0
In Bioconductor since BioC 3.16 (R-4.2) (1 year)
License Artistic-2.0
Depends R (>= 4.2.0), CoGAPS(>= 3.5.13)
Imports gtools, GenomicRanges, projectR, TFBSTools, GeneOverlap, msigdbr, tidyverse, gplots, motifmatchr, chromVAR, GenomicFeatures, IRanges, fgsea, rGREAT, JASPAR2016, Homo.sapiens, Mus.musculus, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Mmusculus.UCSC.mm10, stringr, dplyr
LinkingTo
Suggests knitr, viridis
SystemRequirements
Enhances
URL
BugReports https://github.com/FertigLab/ATACCoGAPS/issues
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 ATACCoGAPS_1.2.0.tar.gz
Windows Binary ATACCoGAPS_1.2.0.zip
macOS Binary (x86_64) ATACCoGAPS_1.2.0.tgz
macOS Binary (arm64) ATACCoGAPS_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ATACCoGAPS
Source Repository (Developer Access) git clone [email protected]:packages/ATACCoGAPS
Bioc Package Browser https://code.bioconductor.org/browse/ATACCoGAPS/
Package Short Url https://bioconductor.org/packages/ATACCoGAPS/
Package Downloads Report Download Stats

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