Each individual laboratory validates its own combination of software and thresholds for their secondary bioinformatics processes. In this session, we will have participants discuss their approaches to analyze data files from cancer sequencing studies (SEQC2). The obtained results and the analytic methods used to generate the results will be presented by each participating institution, after which, the nuances and differences in the bioinformatics analytic approach and the results will be discussed. This session is expected to be both enjoyable and informative with active discussions.
Jeremy Segal, MD, PhD, University of Chicago, IL, USA
Ahmet Zehir, PhD, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Objectives:
- Upon completion, participants will be able to appreciate the complexity and difficulty in the bioinformatics analyses and interpretation of NGS data.
- Upon competition, participants will have knowledge about different methods for analyzing somatic variation, with the understanding that there is no “one size fits all” for NGS data analysis.
- Upon competition, participants will learn that different bioinformatics pipelines have unique advantages and complexities, and to take these into consideration when implementing them internally.
Duration: 1.25 hr
Recording Date: November 7, 2019
CME/CMLE credit: 1.25 hr
Last day to purchase course and CE claim credit: December 24, 2022
