| Literature DB >> 33432081 |
Xiaowen Chen1, Haitham Ashoor1, Ryan Musich1, Jiahui Wang1, Mingsheng Zhang1, Chao Zhang2, Mingyang Lu3, Sheng Li4,5,6,7.
Abstract
Intra-tumoral epigenetic heterogeneity is an indicator of tumor population fitness and is linked to the deregulation of transcription. However, there is no published computational tool to automate the measurement of intra-tumoral epigenetic allelic heterogeneity. We developed an R/Bioconductor package, epihet, to calculate the intra-tumoral epigenetic heterogeneity and to perform differential epigenetic heterogeneity analysis. Furthermore, epihet can implement a biological network analysis workflow for transforming cancer-specific differential epigenetic heterogeneity loci into cancer-related biological function and clinical biomarkers. Finally, we demonstrated epihet utility on acute myeloid leukemia. We found statistically significant differential epigenetic heterogeneity (DEH) loci compared to normal controls and constructed co-epigenetic heterogeneity network and modules. epihet is available at https://bioconductor.org/packages/release/bioc/html/epihet.html .Entities:
Mesh:
Year: 2021 PMID: 33432081 PMCID: PMC7801679 DOI: 10.1038/s41598-020-79627-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996