Human Genome Analysis
Identification of noncoding cancer "drivers" from thousands of somatic
alterations is an unsolved problem. Here, we developed a computational
framework to annotate cancer regulatory mutations. The framework
combines an adjustable data context summarizing large-scale genomics
and cancer-relevant datasets with an efficient variant prioritization
pipeline. To prioritize high impact variants, we developed a weighted
scoring scheme to score each mutation's impact.
Session in
http://www.bio-itworldexpo.com/Clinical-Omics/
Podcast
http://www.bio-itworldexpo.com/Bio-It_Expo_Content.aspx?id=146139
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment