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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417284/
https://www.ncbi.nlm.nih.gov/pubmed/30867008
http://dx.doi.org/10.1186/s13059-019-1659-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417284/
https://www.ncbi.nlm.nih.gov/pubmed/30867008
http://dx.doi.org/10.1186/s13059-019-1659-6

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