Nature CommunicationsBioinformaticsPeer-reviewed journal article
FitHiChIP: Identification of significant chromatin contacts from HiChIP data
Sourya BhattacharyyaiD, Vivek Kumar ChandraiD, Pandurangan VijayanandiD, Ferhat AyiD
Abstract
Here we describe FitHiChIP (github.com/ay-lab/FitHiChIP), a computational method for identifying chromatin contacts among regulatory regions such as en-hancers and promoters from HiChIP/PLAC-seq data. FitHiChIP jointly models the non-uniform coverage and genomic distance scaling of HiChIP data, captures previously validated enhancer interactions for several genes including MYC and TP53, and recovers contacts genome-wide that are supported by ChIA-PET, pro-moter capture Hi-C and Hi-C data. FitHiChIP also provides a framework for differential contact analysis as showcased in a comparison of HiChIP data we have generated for two distinct immune cell types.
- assay: Hi-C
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 238
- FWCI
- 6.79
- Field percentile
- top 2%
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