A new computational method developed in our lab, Oncodrive3D, has been published in Nucleic Acids Research. The article, titled "Oncodrive3D: fast and accurate detection of structural clusters [...]
A study by our group that identified five key factors that are significantly associated with the response of cancer patients to immunotherapy was published in Nature Genetics. [...]
We are very happy to announce that a dual new release of intOGen and boostDM is out. We collected data from 33,218 tumors, resulting in 633 driver [...]
Our latest work to identify mutations that drive clonal hematopoiesis (CH) has been published in the journal Cancer Discovery. We developed machine learning models to identify the [...]
We studied the cases of four children who have experienced two cancers during childhood to address the origin of second pediatric cancers. As a tool, the research [...]
CANCER PROMOTION: understanding cancer promotion to inform prevention Link to the video Nuria Lopez-Bigas, jointly with Allan Balmain (UCSF) and Paul Brennan (IARC) is organizing the next [...]
intOGen is out. In this release we have increased the number of cohorts and samples, we have made small updates to the IntOGen pipeline and we have [...]
We have launched the new website for the EU funded project CGI-Clinics coordinated by Nuria Lopez-Bigas. CGI-Clinics is a community-driven project that aims to improve precision [...]
On November 21-23 we celebrated the Kick-Off Meeting of CGI-Clinics, a five-year project funded by the European Commission, which started on November 1st 2022. Sixty participants [...]
BoostDM is a computational tool based on machine learning designed to identify driver mutations affecting cancer genes. The method, inspired in evolutionary biology, is designed to define [...]
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