Proteomic Data Commons in Cancer Research

November 15, 2023 11:00 a.m. - 12:00 p.m. ET

During this webinar, you’ll learn how to effectively use the Proteomic Data Commons (PDC). The PDC is a secure, cloud-based repository with diverse proteomic data sets and innovative analytic tools. It is designed to advance data-driven scientific discovery.

Drs. Ratna Rajesh Thangudu and Bing Zhang will present an overview of the PDC, including:

  • the data available within the repository.
  • its access methods.
  • analysis tools.
  • visualization options.
  • submission processes.

Not only will you get an overview of the PDC, but you’ll also discover its practical applications. For instance, Drs. Thangudu and Zhang will demonstrate the integration of proteomic data from the PDC with various other omics data sets accessible within NCI’s Cancer Research Data Commons. These examples will highlight how integrated data can yield new biological and clinical insights.

The Data Science Seminar Series presents talks from innovators in the cancer research and informatics communities both within and outside of NCI.

Ratna Rajesh Thangudu, Ph.D.

Dr. Thangudu is the director of bioinformatics at ICF and is the lead for NCI’s PDC. His interests include end-to-end design and delivery of life sciences data management products and services, loud applications, and high-throughput data analysis using Agile methodologies for large scale multi-omic efforts.

Bing Zhang, Ph.D.

Dr. Zhang is a Cancer Prevention and Research Institute of Texas Scholar, McNair Medical Institute Scholar, and professor of molecular and human genetics in Baylor College of Medicine. He is an internationally recognized leader in computational cancer proteogenomics, with a focus on developing informatics solutions that help translate cancer genomic and proteomic data into biological and clinical insights. Dr. Zhang has led and published studies in Nature, Cell, and Cancer Cell that have demonstrated the power of proteogenomics in advancing cancer biology, diagnosis, and treatment.

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