Computational methods and resources for the interpretation of genomic variants in cancer
作者： Rui Tian , Malay K Basu , Emidio Capriotti
DOI: 10.1186/1471-2164-16-S8-S7
关键词:
摘要: The recent improvement of the high-throughput sequencing technologies is having a strong impact on detection genetic variations associated with cancer. Several institutions worldwide have been whole exomes and or genomes cancer patients in thousands, thereby providing an invaluable collection new somatic mutations different types. These initiatives promoted development methods tools for analysis that are aimed at studying relationship between genotype phenotype In this article we review online resources computational genome. First, describe available repositories genome data. Next, provide overview variation prioritization related genes causative variations. Finally, discuss future perspectives genomics focusing quantitative approaches defining personalized strategies to improve diagnosis treatment
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