ncibtep@nih.gov

Bioinformatics Training and Education Program

High Throughput Sequencing Analysis in Cancer Immunotherapy

High Throughput Sequencing Analysis in Cancer Immunotherapy

 When: Sep. 21st, 2020 1:00 pm - 2:00 pm

This class has ended.
To Know
  • Where: Online Webinar
  • Organized By: CBIIT

About this Class

Join Meeting The Surgery Branch (SB) of the National Cancer Institute (NCI) is a combined laboratory and clinical research unit devoted to the development of innovative cancer immunotherapies. Efforts run the gamut from basic studies of cancer immunology to the conduct of clinical immunotherapy trials for patients with metastatic cancer. Dr. Paul Robbins will discuss SB’s recent advances in the development of cancer immunotherapies, with special emphasis on the use of whole exome sequencing and RNA-seq analysis to identify T cells and T cell receptors that recognize antigens arising from somatic mutations in patient tumors (neoantigens). SB has leveraged extensive capabilities available within the NIH Integrated Data Analysis Portal (NIDAP) to accelerate their work. Dr. Robbins will describe the integration of genomic sequencing data with patient clinical data from multiple sources and the development of customized, bench-to-bedside analytic workflows within the platform. NCI Investigators wishing to initiate data management, NIDAP-enabled analyses, or explore development of new workflows should contact Janelle Cortner by email or on Teams; Investigators from ICs beyond NCI who are interested in NIDAP should contact Sam Michael. Investigators may also contact or John Holgate. Thank you, Center for Biomedical Informatics and Information Technology (CBIIT) National Cancer Institute Individuals needing reasonable accommodations should contact nciittraining@mail.nih.gov. For those employees who are deaf, hard-of-hearing, or speech impaired, the Federal Relay Service provides free telecommunications relay services (TRS). Individuals requiring interpreting or CART services should submit a request online in the Interpreting Services System at least five business days before the start of the session.