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Rapid Exploration of Oncology Clinico-Genomic Data from TCGA
Mining large scale multidimensional oncology datasets to identify novel diagnostic, prognostic, and treatment response markers remains a huge endeavor for researchers. Landmark programs like The Cancer Genome Atlas (TCGA) have generated deeply valuable, shared resources of rich clinical, genomic, epigenomic, transcriptomic, and proteomic data. However, easy identification of TCGA cohorts that meet clinical inclusion criteria, plus advanced analysis of linked genomic data poses significant challenges to clinician researchers and bioinformaticians.

Enter DNAnexus Apollo. Built on the DNAnexus Platform, Apollo is an analytics solution purpose-built for researchers looking to explore and analyze genomic and phenotypic data together at scale. Whether you are leveraging public data like TCGA, your own protected data, or a combination, the challenge is the same: What clinically actionable information will you find in your cancer datasets?

Please join us for this webinar to see how DNAnexus Apollo empowers clinician researchers and bioinformaticians to work together to:

-Explore expansive TCGA clinical data elements with the Apollo Cohort Browser
-Identify, compare, and save cohorts of TCGA individuals that meet key phenotypic criteria
-Launch detailed analysis of genomic features of TCGA cohorts using the embedded Apollo JupyterLab environment, including:

-Differential gene expression analysis
-Visualization of mutational landscapes of case and control cohorts
-Correlating genomic features with TCGA overall survival data

May 14, 2020 10:00 AM in Pacific Time (US and Canada)

Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: DNAnexus.