Detecting transcriptomic structural variants in heterogeneous contexts via the Multiple Compatible Arrangements Problem

Detecting transcriptomic structural variants in heterogeneous contexts via the Multiple Compatible Arrangements Problem

Abstract Background Transcriptomic structural variants (TSVs)—large-scale transcriptome sequence change due to structural variation - are common in cancer. TSV detection from high-throughput sequencing data is a computationally challenging problem. Among all the confounding factors, sample heterogen...

Full description

Bibliographic Details
Main Authors: Yutong Qiu, Cong Ma, Han Xie, Carl Kingsford
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Algorithms for Molecular Biology
Subjects:
Transcriptomic structural variation
Integer linear programming
Heterogeneity
Online Access:http://link.springer.com/article/10.1186/s13015-020-00170-5

Internet

http://link.springer.com/article/10.1186/s13015-020-00170-5

Similar Items