Cargando…
Predicting the recurrence of noncoding regulatory mutations in cancer
BACKGROUND: One of the greatest challenges in cancer genomics is to distinguish driver mutations from passenger mutations. Whereas recurrence is a hallmark of driver mutations, it is difficult to observe recurring noncoding mutations owing to a limited amount of whole-genome sequenced samples. Hence...
Autores principales: | Yang, Woojin, Bang, Hyoeun, Jang, Kiwon, Sung, Min Kyung, Choi, Jung Kyoon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5135808/ https://www.ncbi.nlm.nih.gov/pubmed/27912731 http://dx.doi.org/10.1186/s12859-016-1385-y |
Ejemplares similares
-
Understanding Epistatic Interactions between Genes Targeted by Non-coding Regulatory Elements in Complex Diseases
por: Sung, Min Kyung, et al.
Publicado: (2014) -
Network perturbation by recurrent regulatory variants in cancer
por: Jang, Kiwon, et al.
Publicado: (2017) -
Predictive long-range allele-specific mapping of regulatory variants and target transcripts
por: Lee, Kibaick, et al.
Publicado: (2017) -
Global transcription network incorporating distal regulator binding reveals selective cooperation of cancer drivers and risk genes
por: Kim, Kwoneel, et al.
Publicado: (2015) -
Accelerated Evolution of the Regulatory Sequences of Brain Development in the Human Genome
por: Lee, Kang Seon, et al.
Publicado: (2020)