Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article
EpiCompare: R package for the comparison and quality control of epigenomic peak files
Sera ChoiiD, Brian M. SchilderiD, Leyla AbbasovaiD, Alan E MurphyiD, Nathan SkeneiD
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.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
- assay: ChIP-seq
- assay: CUT&Tag
- assay: ATAC-seq
- research focus: benchmarking
- research focus: variant calling
- research focus: software / tool
- approach: statistical model
- Citations
- 4
- FWCI
- 0.36
- Field percentile
- 47th percentile
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