Accurate Identification of Active Transcriptional Regulatory Elements from Global Run-On and Sequencing Data
Charles G Danko, Stephanie L Hyland, Leighton J Core, Andre L Martins, Colin T Waters, Hyung Won Lee, Vivian G Cheung, W. Lee Kraus, John T. Lis, Adam Siepel
The paper introduces dREG, a machine-learning method to identify active transcriptional regulatory elements from GRO-seq data, showing strong enrichment for functional marks.
bioRxiv · Nov 12, 2014Genomics