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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Vydáno v:Genome Biol
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2019
Témata:
Research
On-line přístup: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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