Molecular subtypes of human cancer
Cancers are typically classified depending on their tissue of origin. However, novel large-scale genomic studies are providing more detailed molecular characterizations of tumors, and thus bring about [...]
How to identify oncogenic driver mutations: a review of bioinformatics approaches
Recently, at least three articles have reviewed the ensemble of bioinformatics tools developed in the past few years to understand the alterations that plague the genome and [...]
Identifying disease related mutations with Condel 2.0
Three years ago, Abel developed and published in the American Journal of Human Genetics an approach to combine the results of several tools aimed at identifying disease-related [...]
Gitools 2.1 visits VizBi
We’d like to communicate two things: We have released a new version of Gitools which brings new capabilities. With these the new Gitools 2.1.0 in the suitcase, [...]
VIZBI 2014: Visualizing Biological Data
Two years ago I attended the VIZBI 2012 to present our latest work on and with Gitools, a tool we use to explore interactive heatmaps of genomics [...]
Our lab receives funding from La Marató de TV3
We are very honored to announce that we have received funds for a 3-year project from the money raised in the last telethon broadcast La Marató de [...]
Our research explained in a short video
The University Pompeu Fabra has produced a video in which we explain in brief our research. We recorded three versions of the video, one in Catalan, one [...]
IntOGen-mutations analysis pipeline 2.4.0 released
Recently we published the paper describing IntOGen-mutations (see this post for more information). Now we are happy to announce a new release of the IntOGen-mutations pipeline (version [...]
My slides on: Identification of cancer drivers across tumor types
Yesterday I gave a talk at the PRBB Computational Genomics Seminars Series. In that talk I summarized our work of this year in the lab. Basically, we [...]
Comprehensive identification of mutational cancer driver genes across 12 tumor types
The Cancer Genome Atlas (TCGA) is an initiative supported by the National Cancer Institute and the National Human Genome Research Institute. Its immediate aim is to obtain [...]