Analysis of error profiles in deep next-generation sequencing data

BACKGROUND: Sequencing errors are key confounding factors for detecting low-frequency genetic variants that are important for cancer molecular diagnosis, treatment, and surveillance using deep next-generation sequencing (NGS). However, there is a lack of comprehensive understanding of errors introdu...

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Veröffentlicht in:Genome Biol
Hauptverfasser: Ma, Xiaotu, Shao, Ying, Tian, Liqing, Flasch, Diane A., Mulder, Heather L., Edmonson, Michael N., Liu, Yu, Chen, Xiang, Newman, Scott, Nakitandwe, Joy, Li, Yongjin, Li, Benshang, Shen, Shuhong, Wang, Zhaoming, Shurtleff, Sheila, Robison, Leslie L., Levy, Shawn, Easton, John, Zhang, Jinghui
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2019
Schlagworte:
Research
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6417284/
https://ncbi.nlm.nih.gov/pubmed/30867008
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1659-6
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