EpiCompare: R package for the comparison and quality control of epigenomic peak files
File(s)2022.07.22.501149v1.full.pdf (1.61 MB)
Working paper
Author(s)
Choi, Sera
Schilder, Brian
Abbasova, Leyla
Murphy, Alan
Skene, Nathan
Type
Working Paper
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 publically available via GitHub:
https://github.com/neurogenomics/EpiCompare
Documentation website
https://neurogenomics.github.io/EpiCompare
EpiCompare DockerHub repository:
https://hub.docker.com/repository/docker/neurogenomicslab/epicompare
Competing Interest Statement
The authors have declared no competing interest.
Availability and Implementation EpiCompare is available on Bioconductor (≥ v3.15):
https://bioconductor.org/packages/release/bioc/html/EpiCompare.html
All source code is publically available via GitHub:
https://github.com/neurogenomics/EpiCompare
Documentation website
https://neurogenomics.github.io/EpiCompare
EpiCompare DockerHub repository:
https://hub.docker.com/repository/docker/neurogenomicslab/epicompare
Competing Interest Statement
The authors have declared no competing interest.
Date Issued
2022-07-23
Citation
2022
Publisher
Cold Spring Harbor Laboratory
Copyright Statement
© 2022 The Author(s). It is made available under a CC BY-NC 4.0 International licence.
Identifier
https://www.biorxiv.org/content/10.1101/2022.07.22.501149v1
Publication Status
Published