Revealing selection in cancer using the predicted functional impact of cancer mutations. Application to nomination of cancer drivers.

Keyphrases

• In Cancer 100%
• Functional Impact 100%
• Cancer Drivers 100%
• Impact of Cancer 100%
• Cancer mutations 100%
• Impact Score 60%
• Functional mutation 40%
• Genetic Modification 40%
• Driver mutations 40%
• Mutation Impact 40%
• Silent mutation 40%
• Polymorphism 20%
• Tumor 20%
• Malignant Tumor 20%
• Truncating mutation 20%
• Oncogene 20%
• Evolutionary Conservation 20%
• Tumor-specific 20%
• Statistical Methods 20%
• Tumor Suppressor 20%
• Recurrent Cancer 20%
• Protein mutations 20%
• Disease Variants 20%
• Tumor Evolution 20%
• Driver Alterations 20%
• Natural Selection 20%
• Non-uniformity 20%
• Non-recurrent 20%
• Mutation Mutation 20%
• Germline Variants 20%
• Heterozygous Deletion 20%
• Long Tail 20%
• Numerical Value 20%
• Conservation Patterns 20%
• Combinatorial Diversity 20%
• Distribution Uniformity 20%

Biochemistry, Genetics and Molecular Biology

• Silent Mutation 100%
• Genomics 100%
• Oncogene 50%
• Germline 50%
• Germ Cell 50%
• Tumor Suppressor Protein 50%
• Genetic Conservation 50%
• Natural Selection 50%