OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps

OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps

Abstract We present a new method, OMSV, for accurately and comprehensively identifying structural variations (SVs) from optical maps. OMSV detects both homozygous and heterozygous SVs, SVs of various types and sizes, and SVs with or without creating or destroying restriction sites. We show that OMSV...

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Bibliographic Details
Main Authors: Le Li, Alden King-Yung Leung, Tsz-Piu Kwok, Yvonne Y. Y. Lai, Iris K. Pang, Grace Tin-Yun Chung, Angel C. Y. Mak, Annie Poon, Catherine Chu, Menglu Li, Jacob J. K. Wu, Ernest T. Lam, Han Cao, Chin Lin, Justin Sibert, Siu-Ming Yiu, Ming Xiao, Kwok-Wai Lo, Pui-Yan Kwok, Ting-Fung Chan, Kevin Y. Yip
Format: Article
Language:English
Published: BMC 2017-12-01
Series:Genome Biology
Subjects:
Optical mapping
Nanochannel
Single-molecule analysis
Structural variation
Online Access:http://link.springer.com/article/10.1186/s13059-017-1356-2

Internet

http://link.springer.com/article/10.1186/s13059-017-1356-2

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