BSC Comparing Algorithms that Search for Cancer Mutations

Eduard Porta-Pardo from BSC has undertaken the first ever comparative analysis of sub-gene algorithms that mine the genetic information in cancer databases. These powerful data-sifting tools are helping untangle the complexity of cancer, and find previously unidentified mutations that are important in creating cancer cells. "Finding new cancer driver genes is an important goal of cancer genome analysis," adds Porta-Pardo. This study should help researchers understand the advantages and drawbacks of sub-gene algorithms used to find new potential drug targets for cancer treatment.

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