Structural variant analysis of a cancer reference cell line sample using multiple sequencing technologies

Structural variant analysis of a cancer reference cell line sample using multiple sequencing technologies

Abstract Background The cancer genome is commonly altered with thousands of structural rearrangements including insertions, deletions, translocation, inversions, duplications, and copy number variations. Thus, structural variant (SV) characterization plays a paramount role in cancer target identific...

Full description

Bibliographic Details
Main Authors: Keyur Talsania, Tsai-wei Shen, Xiongfong Chen, Erich Jaeger, Zhipan Li, Zhong Chen, Wanqiu Chen, Bao Tran, Rebecca Kusko, Limin Wang, Andy Wing Chun Pang, Zhaowei Yang, Sulbha Choudhari, Michael Colgan, Li Tai Fang, Andrew Carroll, Jyoti Shetty, Yuliya Kriga, Oksana German, Tatyana Smirnova, Tiantain Liu, Jing Li, Ben Kellman, Karl Hong, Alex R. Hastie, Aparna Natarajan, Ali Moshrefi, Anastasiya Granat, Tiffany Truong, Robin Bombardi, Veronnica Mankinen, Daoud Meerzaman, Christopher E. Mason, Jack Collins, Eric Stahlberg, Chunlin Xiao, Charles Wang, Wenming Xiao, Yongmei Zhao
Format: Article
Language:English
Published: BMC 2022-12-01
Series:Genome Biology
Subjects:
Structural variation
Reference call set
Cancer
Multiple platforms
Structural variant calling algorithm
Next-generation sequencing technology
Online Access:https://doi.org/10.1186/s13059-022-02816-6

Internet

https://doi.org/10.1186/s13059-022-02816-6

Similar Items