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

Authors :
Choi, Sera
Schilder, Brian M
Abbasova, Leyla
Murphy, Alan E
Skene, Nathan G
Source :
Bioinformatics Advances. 2023, Vol. 3 Issue 1, p1-3. 3p.
Publication Year :
2023

Abstract

Summary EpiCompare 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 implementation EpiCompare is available on Bioconductor (≥ v3.15): https://bioconductor.org/packages/release/bioc/html/EpiCompare.html ; all source code is publicly available via GitHub: https://github.com/neurogenomics/EpiCompare ; documentation website https://neurogenomics.github.io/EpiCompare ; and EpiCompare DockerHub repository: https://hub.docker.com/repository/docker/neurogenomicslab/epicompare. [ABSTRACT FROM AUTHOR]

Details

Language :
English
Volume :
3
Issue :
1
Database :
Academic Search Index
Journal :
Bioinformatics Advances
Publication Type :
Academic Journal
Accession number :
179072687
Full Text :
https://doi.org/10.1093/bioadv/vbad049