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.
| Original language | English |
|---|---|
| Article number | 56 |
| Journal | GENOME BIOLOGY |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 May 2018 |
Keywords
- ChIA-PET
- ENCODE
- EQTL
- ERNA
- Enhancers
- FANTOM5
- GRO-seq
- Gene regulation
- Promoters
- Roadmap
All Science Journal Classification (ASJC) codes
- Ecology, Evolution, Behavior and Systematics
- Genetics
- Cell Biology