InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining

InvBFM: finding genomic inversions from high-throughput sequence data based on feature mining

Abstract Background Genomic inversion is one type of structural variations (SVs) and is known to play an important biological role. An established problem in sequence data analysis is calling inversions from high-throughput sequence data. It is more difficult to detect inversions because they are su...

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Bibliographic Details
Main Authors: Zhongjia Wu, Yufeng Wu, Jingyang Gao
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Genomics
Subjects:
Genomics
High-throughput sequencing
Structural variation
Inversion
Support vector machine
Online Access:http://link.springer.com/article/10.1186/s12864-020-6585-1

Internet

http://link.springer.com/article/10.1186/s12864-020-6585-1

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