SEG is a tool to detect copy number variation (CNV) in whole-genome cancer sequencing data. The SEG algorithm normalizes the data by computing the log-ratio of normal and tumor density and finds points of difference by a Dynamic Programming method.
Genetic; human genetics; genetic variation; Oncology
Zhang M, Liu D, Tang J, Feng Y, Wang T, Dobbin KK, Schliekelman P, Zhao S "SEG - A Software Program for Finding Somatic Copy Number Alterations in Whole Genome Sequencing Data of Cancer." Comput Struct Biotechnol J. 2018 Sep 7;16:335-341. eCollection 2018. https://doi.org/10.1016/j.csbj.2018.09.001
If you find errors, please report here.
Find thousands of Bioinformatics and Life Science software tools and databases in the newly launched