University of Cambridge > Talks.cam > Seminars on Quantitative Biology @ CRUK Cambridge Institute  > Computational analysis of cancer genomes

Computational analysis of cancer genomes

Add to your list(s) Download to your calendar using vCal

  • UserProf Nuria Lopez-Bigas from Institute for Research in Biomedicine in Barcelona
  • ClockMonday 09 November 2020, 10:00-11:00
  • HouseZOOM (live).

If you have a question about this talk, please contact Anna Toporska.

Please email anna.toporska@cruk.cam.ac.uk by Friday 6th November to receive a ZOOM registration link

Somatic mutations are the driving force of cancer genome evolution. Given the evolutionary principles of cancer, one effective way to identify genes involved in cancer is by tracing the signals left by the positive selection of driver mutations across tumours. Prof Lopez-Bigas and her team analyse thousands of tumour genomes to identify driver mutations in the genome (results available in http://www.intogen.org). The analysis of tumour cohorts provide valuable information to improve the interpretation of individual variants detected in newly sequenced tumours in clinical or research settings. CancerGenomeInterpreter.org, a tool designed to identify driver mutations and biomarkers of drug response in individual tumours, has been developed by Prof Lopez-Bigas and her lab. Finally, by analysing more than 3500 whole-genomes of treated metastatic patients the mutational footprints (or mutational signatures) of commonly used cancer treatments were uncovered. These signatures allowed to measure the mutational toxicity of these treatments across patients and organs.

This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity