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...

Descripción completa

Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Research Articles
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

Internet

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

Ejemplares similares