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• W2950354537 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% improvement in accuracy, three- to fourfold 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-seq. 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. Our results suggest that transcription initiation can be a powerful tool for expanding the catalog of functional elements." @default.
• W2950354537 created "2019-06-27" @default.
• W2950354537 creator A5035778992 @default.
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• W2950354537 date "2018-12-20" @default.
• W2950354537 modified "2023-10-15" @default.
• W2950354537 title "Identification of regulatory elements from nascent transcription using dREG" @default.
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• W2950354537 doi "https://doi.org/10.1101/gr.238279.118" @default.
• W2950354537 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6360809" @default.
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• W2950354537 hasPublicationYear "2018" @default.
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