Cargando…
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer
Simultaneous interrogation of tumor genomes and transcriptomes is underway in unprecedented global efforts. Yet, despite the essential need to separate driver mutations modulating gene expression networks from transcriptionally inert passenger mutations, robust computational methods to ascertain the...
Autores principales: | Bashashati, Ali, Haffari, Gholamreza, Ding, Jiarui, Ha, Gavin, Lui, Kenneth, Rosner, Jamie, Huntsman, David G, Caldas, Carlos, Aparicio, Samuel A, Shah, Sohrab P |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4056374/ https://www.ncbi.nlm.nih.gov/pubmed/23383675 http://dx.doi.org/10.1186/gb-2012-13-12-r124 |
Ejemplares similares
-
Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer
por: Ha, Gavin, et al.
Publicado: (2012) -
Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data
por: Ding, Jiarui, et al.
Publicado: (2012) -
TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data
por: Ha, Gavin, et al.
Publicado: (2014) -
Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network
por: Dhingra, Priyanka, et al.
Publicado: (2017) -
Systematic analysis of somatic mutations impacting gene expression in 12 tumour types
por: Ding, Jiarui, et al.
Publicado: (2015)