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Integration of intra-sample contextual error modeling for improved detection of somatic mutations from deep sequencing
Sensitive mutation detection by next-generation sequencing is critical for early cancer detection, monitoring minimal/measurable residual disease (MRD), and guiding precision oncology. Nevertheless, because of artifacts introduced during library preparation and sequencing, the detection of low-frequ...
Autores principales: | Abelson, Sagi, Zeng, Andy G. X., Nofech-Mozes, Ido, Wang, Ting Ting, Ng, Stanley W. K., Minden, Mark D., Pugh, Trevor J., Awadalla, Philip, Shlush, Liran I., Murphy, Tracy, Chan, Steven M., Dick, John E., Bratman, Scott V. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725472/ https://www.ncbi.nlm.nih.gov/pubmed/33298453 http://dx.doi.org/10.1126/sciadv.abe3722 |
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