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@unpublished{Choi:2022:10.1101/2022.07.22.501149,
author = {Choi, S and Schilder, B and Abbasova, L and Murphy, A and Skene, N},
doi = {10.1101/2022.07.22.501149},
publisher = {Cold Spring Harbor Laboratory},
title = {EpiCompare: R package for the comparison and quality control of epigenomic peak files},
url = {http://dx.doi.org/10.1101/2022.07.22.501149},
year = {2022}
}

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TY  - UNPB
AB  - 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.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/epicompareCompeting Interest StatementThe authors have declared no competing interest.
AU  - Choi,S
AU  - Schilder,B
AU  - Abbasova,L
AU  - Murphy,A
AU  - Skene,N
DO  - 10.1101/2022.07.22.501149
PB  - Cold Spring Harbor Laboratory
PY  - 2022///
TI  - EpiCompare: R package for the comparison and quality control of epigenomic peak files
UR  - http://dx.doi.org/10.1101/2022.07.22.501149
UR  - https://www.biorxiv.org/content/10.1101/2022.07.22.501149v1
UR  - http://hdl.handle.net/10044/1/101878
ER  -

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