Ontology highlight
ABSTRACT:
SUBMITTER: Li J
PROVIDER: S-EPMC4654583 | biostudies-literature | 2015 Nov
REPOSITORIES: biostudies-literature
PLoS computational biology 20151120 11
We address here the issue of prioritizing non-coding mutations in the tumoral genome. To this aim, we created two independent computational models. The first (germline) model estimates purifying selection based on population SNP data. The second (somatic) model estimates tumor mutation density based on whole genome tumor sequencing. We show that each model reflects a different set of constraints acting either on the normal or tumor genome, and we identify the specific genome features that most c ...[more]