Article
Identification of active transcriptional regulatory elements from GRO-seq data.
Nature methods - 1 May 2015
Danko Charles G, Hyland Stephanie L, Core Leighton J, Martins Andre L, Waters Colin T, Lee Hyung Won, Cheung Vivian G, Kraus W Lee, Lis John T, Siepel Adam
Abstract excerpt
Modifications to the global run-on and sequencing (GRO-seq) protocol that enrich for 5'-capped RNAs can be used to reveal active transcriptional regulatory elements (TREs) with high accuracy. Here, we introduce discriminative regulatory-element detection from GRO-seq (dREG), a sensitive machine learning method that uses support vector regression to identify active TREs from GRO-seq data without requiring...
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