epiRomics: Epigenomic Analysis Package Built for R (epiRomics)

Integrates various levels of epigenomic information, including ChIP-seq, histone modification, ATAC-seq, and RNA-seq data. Regulatory network analysis uses combinatory approaches to infer regions of significance, such as enhancers. Downstream analysis identifies co-occurrence of epigenomic data at regions of interest. Visualization functions display multi-track genomic views with signal overlays. Please contact <ammawla@ucdavis.edu> for suggestions, feedback, or bug reporting.

See also

Useful links:

• https://huising-lab.github.io/epiRomics/

• https://github.com/Huising-Lab/epiRomics

• Report bugs at https://github.com/Huising-Lab/epiRomics/issues

Author

Maintainer: Alex M. Mawla ammawla@ucdavis.edu (ORCID)

Authors:

• Mark O. Huising mhuising@ucdavis.edu (ORCID)