FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer

Identification of noncoding drivers from thousands of somatic alterations in a typical tumor is a difficult and unsolved problem. We report a computational framework, FunSeq2, to annotate and prioritize these mutations. The framework combines an adjustable data context integrating large-scale genomi...

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Detalles Bibliográficos
Autores principales: Fu, Yao, Liu, Zhu, Lou, Shaoke, Bedford, Jason, Mu, Xinmeng Jasmine, Yip, Kevin Y, Khurana, Ekta, Gerstein, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203974/
https://www.ncbi.nlm.nih.gov/pubmed/25273974
http://dx.doi.org/10.1186/s13059-014-0480-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4203974/
https://www.ncbi.nlm.nih.gov/pubmed/25273974
http://dx.doi.org/10.1186/s13059-014-0480-5

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