A framework that uses somatic mutations to identify cancer driver genes and their cancer mutational patterns
Platform to facilitate the interpretation of alterations in a patient’s tumor.
A method to score all possible point mutations (single base substitutions) in cancer genes for their potential to be involved in tumorigenesis
A method to analyze the pattern of somatic mutations across tumors in both coding and non-coding genomic regions to identify signals of positive selection
A new method to identify clustering of somatic mutations in both coding and non-coding genomic regions to detect signals of positive selection.
Framework for the interactive visualization of genomic data heatmaps.
web-tool for the rational design of cancer NGS panels based on mutational data
A method to integrate the output of various methods to identify deleterious non-synonymous variants
A method to classify cancer driver genes into to Activating or Loss of Function roles.