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FOCS: a novel method for analyzing enhancer and gene activity patterns infers an extensive enhancer-promoter map.

ABSTRACT: Recent sequencing technologies enable joint quantification of promoters and their enhancer regions, allowing inference of enhancer-promoter links. We show that current enhancer-promoter inference methods produce a high rate of false positive links. We introduce FOCS, a new inference method, and by benchmarking against ChIA-PET, HiChIP, and eQTL data show that it results in lower false discovery rates and at the same time higher inference power. By applying FOCS to 2630 samples taken from ENCODE, Roadmap Epigenomics, FANTOM5, and a new compendium of GRO-seq samples, we provide extensive enhancer-promotor maps ( http://acgt.cs.tau.ac.il/focs ). We illustrate the usability of our maps for deriving biological hypotheses.

SUBMITTER: Hait TA

PROVIDER: S-EPMC5930446 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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FOCS: a novel method for analyzing enhancer and gene activity patterns infers an extensive enhancer-promoter map.

Hait Tom Aharon TA Amar David D Shamir Ron R Elkon Ran R

Genome biology 20180501 1

Recent sequencing technologies enable joint quantification of promoters and their enhancer regions, allowing inference of enhancer-promoter links. We show that current enhancer-promoter inference methods produce a high rate of false positive links. We introduce FOCS, a new inference method, and by benchmarking against ChIA-PET, HiChIP, and eQTL data show that it results in lower false discovery rates and at the same time higher inference power. By applying FOCS to 2630 samples taken from ENCODE, ...[more]

PMID: 29716618

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