ENVE: a novel computational framework characterizes copy-number mutational landscapes in colorectal cancers from African American patients

Reliable detection of somatic copy-number alterations (sCNAs) in tumors using whole-exome sequencing (WES) remains challenging owing to technical (inherent noise) and sample-associated variability in WES data. We present a novel computational framework, ENVE, which models inherent noise in any WES d...

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Detalles Bibliográficos
Autores principales: Varadan, Vinay, Singh, Salendra, Nosrati, Arman, Ravi, Lakshmeswari, Lutterbaugh, James, Barnholtz-Sloan, Jill S., Markowitz, Sanford D., Willis, Joseph E., Guda, Kishore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534088/
https://www.ncbi.nlm.nih.gov/pubmed/26269717
http://dx.doi.org/10.1186/s13073-015-0192-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534088/
https://www.ncbi.nlm.nih.gov/pubmed/26269717
http://dx.doi.org/10.1186/s13073-015-0192-9

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