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EpiCompare: R package for the comparison and quality control of epigenomic peak files

Authors :
Sera Choi
Brian M. Schilder
Leyla Abbasova
Alan E. Murphy
Nathan G. Skene
Source :
Bioinformatics Advances. 3
Publication Year :
2023
Publisher :
Oxford University Press (OUP), 2023.

Abstract

SummaryEpiCompare combines a variety of downstream analysis tools to compare, quality control and benchmark different epigenomic datasets. The package requires minimal input from users, can be run with just one line of code and provides all results of the analysis in a single interactive HTML report. EpiCompare thus enables downstream analysis of multiple epigenomic datasets in a simple, effective and user-friendly manner.Availability and ImplementationEpiCompare is available on Bioconductor (≥ v3.15):https://bioconductor.org/packages/release/bioc/html/EpiCompare.htmlAll source code is publically available via GitHub:https://github.com/neurogenomics/EpiCompareDocumentation websitehttps://neurogenomics.github.io/EpiCompareEpiCompare DockerHub repository:https://hub.docker.com/repository/docker/neurogenomicslab/epicompare

Subjects

Subjects :
General Medicine

Details

ISSN :
26350041
Volume :
3
Database :
OpenAIRE
Journal :
Bioinformatics Advances
Accession number :
edsair.doi.dedup.....43768156b7c1739159f4abd153a6dcb2