iSeg: an efficient algorithm for segmentation of genomic and epigenomic data
Senthil Balaji Girimurugan, Yuhang Liu, Pei-Yau Lung, Daniel L. Vera, Jonathan H. Dennis, Hank W. Bass, Jinfeng Zhang
iSeg is an efficient algorithm for genomic and epigenomic segmentation that uses dynamic programming and a novel data structure to identify and refine segments with statistical significance.
BMC Bioinformatics · Apr 11, 2018Peer-reviewedBioinformatics