IDR2D identifies reproducible genomic interactions

IDR2D identifies reproducible genomic interactions

Chromatin interaction data from protocols such as ChIA-PET, HiChIP and Hi-C provide valuable insights into genome organization and gene regulation, but can include spurious interactions that do not reflect underlying genome biology. We introduce an extension of the Irreproducible Discovery Rate (IDR...

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Bibliographic Details
Main Authors: Krismer, Konstantin (Author), Guo, Yuchun (Author), Gifford, David K (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Oxford University Press (OUP), 2020-12-23T19:49:21Z.
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