ArticlePeerJ2021
HiCEnterprise: identifying long range chromosomal contacts in Hi-C data.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Mapping chromatin accessibility and active regulatory elements reveals pathological mechanisms in human gliomas.Nature communications · 2021Article
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3 authors.
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Abstract
motivationComputational analysis of chromosomal contact data is currently gaining popularity with the rapid advance in experimental techniques providing access to a growing body of data. An important problem in this area is the identification of long range contacts between distinct chromatin regions. Such loops were shown to exist at different scales, either mediating relatively short range interactions between enhancers and promoters or providing interactions between much larger, distant chromosome domains. A proper statistical analysis as well as availability to a wide research community are crucial in a tool for this task.
resultsWe present HiCEnterprise, a first freely available software tool for identification of long range chromatin contacts not only between small regions, but also between chromosomal domains. It implements four different statistical tests for identification of significant contacts for user defined regions or domains as well as necessary functions for input, output and visualization of chromosome contacts. AVAILABILITY: The software and the corresponding documentation are available at: github.com/regulomics/HiCEnterprise. SUPPLEMENTARY INFORMATION: Supplemental data are available in the online version of the article and at the website regulomics.mimuw.edu.pl/wp/hicenterprise.
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