Sunday, April 19, 2015

Abstract for Talk at BioIT World 2015

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.

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