I am thrilled to announce that our work on In silico saturation mutagenesis of cancer genes is finally out @Nature. We propose a method inspired in evo biology to identify driver mutations in cancer genes. Here’s #tweetorial to sketch our results rdcu.be/cqsM1 Although we have a good knowledge of the genes that cause cancer upon mutations, most mutations in such genes are of uncertain significance. Classifying these variants in cancer genes is key to understand the mechanisms of tumorigenesis and advance precision medicine of cancer.

We are really excited to share our @biorxivpreprint on "In silico saturation mutagenesis of cancer genes". Here’s a #tweetorial to briefly summarize our findings doi.org/10.1101/2020.0… Tumors are known to follow an evolutionary process whereby somatic variants can contribute to cancer development. The study of the traces of positive selection of tumorigenic mutations at the level of genes has yielded a compendium of cancer driver genes (intogen.org)