Genome ResearchBioinformaticsPeer-reviewed journal article
Identification of regulatory elements from nascent transcription using dREG
Zhong Wang, Tinyi ChuiD, Lauren A. ChoateiD, Charles G. DankoiD
Abstract
Our genomes encode a wealth of transcription initiation regions (TIRs) that can be identified by their distinctive patterns of actively elongating RNA polymerase. We previously introduced dREG to identify TIRs using PRO-seq data. Here we introduce an efficient new implementation of dREG that uses PRO-seq data to identify both uni- and bidirectionally transcribed TIRs with 70% improvements in accuracy, 3-4-fold higher resolution, and >100-fold increases in computational efficiency. Using a novel strategy to identify TIRs based on their statistical confidence reveals extensive overlap with orthogonal assays, yet also reveals thousands of additional weakly-transcribed TIRs that were not identified by H3K27ac ChIP-seq or DNase-I-hypersensitivity. Novel TIRs discovered by dREG were often associated with RNA polymerase III initiation, bound by pioneer transcription factors, or located in broad domains marked by repressive chromatin modifications. We provide a web interface to dREG that can be used by the scientific community (http://dREG.DNASequence.org).
- assay: long-read sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant calling
- research focus: database / resource
- approach: statistical model
- Citations
- 116
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