EpiCompare: R package for the comparison and quality control of epigenomic peak files
File(s)vbad049.pdf (638.81 KB)
Published version
Author(s)
Choi, Sera
Schilder, Brian M
Abbasova, Leyla
Murphy, Alan E
Skene, Nathan G
Type
Journal Article
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.
Date Issued
2023-05-24
Date Acceptance
2023-04-12
Citation
Bioinformatics Advances, 2023, 3 (1)
ISSN
2635-0041
Publisher
Oxford University Press
Journal / Book Title
Bioinformatics Advances
Volume
3
Issue
1
Copyright Statement
VC The Author(s) 2023. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/37250110
PII: vbad049
Publication Status
Published online
Coverage Spatial
England
Article Number
ARTN vbad049
Date Publish Online
2023-04-13