Over a decade after its initial funding, The Cancer Genome Atlas has concluded this month with the most comprehensive analysis of TCGA data, cataloguing DNA alterations, gene expression and epigenetic information across thousands of tumours as part of the PanCanAtlas effort. TCGA has generated vast amounts of data through the analysis of primary tumours from 33 different types of cancer, collecting 7 different data types. Data collected through TCGA project is normalised and open source, providing information about the cancer landscape for researchers to use as a platform for further exploration. To fully benefit from these vast quantities of data, tools for easy data visualisation and analysis must be developed for use of the non-computational scientist.

I’ve brought together the best in the business to discuss some of the motivators behind the development of the tools and databases needed to access data produced through TCGA project. 

Our panel of experts join The Genome Spot and discuss TCGA data and some of the tools they’ve developed for you to make sense of it.

When: May, 2nd 2018
Time: 9:00am PDT/ 12:00pm EDT/ 5:00pm BST
The webinar will be available on-demand after this date.

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  • Dr Carolyn Hutter,Division Director for the Division of Genome Sciences and Team Lead for TCGA, NHGRI NIH
  • Dr Nikolaus Schultz, Head of Knowledge Systems and Developer of cBioPortal, Marie-Josée & Henry R. Kravis Center for Molecular Oncology, MSKCC
  • Dr Simon Forbes, Head of COSMIC, Wellcome Trust Sanger Institute
  • Dr Andrew Carroll, Vice President of Science, DNA Nexus