Journal
GENOME BIOLOGY
Volume 17, Issue -, Pages -Publisher
BIOMED CENTRAL LTD
DOI: 10.1186/s13059-016-0994-0
Keywords
Cancer drivers; Non-coding regions; Local functional mutations bias; Non-coding drivers
Funding
- Spanish Ministry of Economy and Competitiveness (MINECO/FEDER, UE) [SAF2015-66084-R]
- Marato de TV3 Foundation
- Spanish National Institute of Bioinformatics (INB)
- EMBO Long-Term Fellowship - European Commission (EMBOCOFUND) from Marie Curie Actions [ALTF 568-2014, GA-2012-600394]
- Ramon y Cajal contract [RYC-2013-14554]
- ICREA Funding Source: Custom
Ask authors/readers for more resources
Distinguishing the driver mutations from somatic mutations in a tumor genome is one of the major challenges of cancer research. This challenge is more acute and far from solved for non-coding mutations. Here we present OncodriveFML, a method designed to analyze the pattern of somatic mutations across tumors in both coding and non-coding genomic regions to identify signals of positive selection, and therefore, their involvement in tumorigenesis. We describe the method and illustrate its usefulness to identify protein-coding genes, promoters, untranslated regions, intronic splice regions, and lncRNAs-containing driver mutations in several malignancies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
