Accurate Prediction of Immuno-oncology Targets with a Neoantigen Discovery Workflow

Recorded on: 05/20/2020 at 12:00 PM EST      Location: Online

Neoantigens are peptides on the surface of cancer cells that may activate the immune system. Multiple novel therapeutic approaches involve identifying and predicting which neoantigens can be leveraged to trigger immunity-induced tumor regression. Accurate, reproducible, and rapid discovery of neoantigen candidates represents a foundation for personalized cancer vaccine development. Paired with a cloud environment, this neoantigen workflow has the potential to fulfill the demands for rapid turn-around of accurate predictions within a clinically compliant environment for a large number of patients.

Key points you will learn:

  • Current advancements related to neoantigen discovery and its importance in constructing cancer immunotherapies and vaccines. 
  • Processing Next Generation Sequencing (NGS) data on the cloud using the Common Workflow Language (CWL) to obtain targets for cancer treatment.
  • Criteria for obtaining high accuracy neoantigen discovery.

Featuring Expert Speakers

Vladimir Kovacevic_Headshot
Vladimir Kovacevic
Bioinformatics Analyst at Seven Bridges
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X'avia Chan
Scientific Engagement Manager at Seven Bridges

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