An open laptop displays the CRDC Imaging Data Commons homepaage.
April 28, 2022 12:00 p.m. - 1:00 p.m. ET

This webinar will provide a foundation on NCI’s Imaging Data Commons (IDC) and NCI Cloud Resources, components of the cloud-based Cancer Research Data Commons (CRDC).

Variety of bioinformatics icons (microscope, cluster of user icons, molecular structures, and test tubes) revolving around a computer icon on a blue background.
April 27, 2022 2:00 p.m. - 3:00 p.m. ET

Rong Fan, Ph.D., and Matthew Reilley, M.D.

Yale University’s Dr. Fan and University of Virginia’s Dr. Reilley present, “New Technologies for Clinical Decision Making and Research: Computational Science in Immuno-Oncology.” This is the second of nine seminars in the SITC-NCI Computational Immuno-Oncology Webinar Series, a series designed for data scientists interested in the latest data science technologies and immunotherapy research.

Clemens Grassberge
April 20, 2022 11:00 a.m. - 12:00 p.m. ET

Clemens Grassberger, Ph.D.

Dr. Grassberger will highlight the current computational and mathematical approaches for modeling the impact of radiotherapy on the immune system, as well as designing the next generation of combination trials.

Genomic Data Commons GENCODE v36 Update Monthly Support Webinar Monday, April 11 2-3 pm ET
April 11, 2022 2:00 p.m. - 3:00 p.m. ET

Bill Wysocki, Ph.D.

Join University of Chicago’s Dr. Bill Wysocki at the NCI Genomic Data Commons April webinar as he describes a recent major update to the GDC’s reference gene model.

A decorative image illustrating the data science cloud. Text reads, "'Getting to know the GA4GH Workflow Execution Service (WES) API,' NCI Containers and Workflows Interest Group, Friday, April 8 | 3:00 p.m. EDT."
April 08, 2022 3:00 p.m. - 4:00 p.m. ET

Ian Fore, Ph.D., and James Eddy, Ph.D.

Join the April Containers and Workflows Interest Group webinar to hear NCI CBIIT’s Dr. Ian Fore and Sage Bionetworks’ Dr. James Eddy discuss the WES API developed by the Global Alliance for Genomics and Health (GA4GH).

Variety of bioinformatics icons (microscope, cluster of user icons, molecular structures, and test tubes) revolving around a computer icon on a blue background.
April 07, 2022 3:30 p.m. - 4:30 p.m. ET

Eliezer Van Allen, M.D.; Jill Barnholtz-Sloan, Ph.D.

Dr. Eliezer M. Van Allen and CBIIT’s Dr. Jill Barnholtz-Sloan kick off the first of nine seminars in a series designed for data scientists interested in the latest data science technologies and immunotherapy research.

Headshot of Malachi Griffith
April 06, 2022 11:00 a.m. - 12:00 p.m. ET

Malachi Griffith, Ph.D.

Dr. Malachi Griffith will give an introduction to neoantigens, a promising area for cancer immunotherapy and precision medicine. Dr. Griffith will describe how immunogenomic and bioinformatic approaches are helping to identify neoantigens and therapeutic modalities to target these abnormal proteins. He also will offer insight into tools to support related clinical trial efforts.

Headshot of Maryellen L. Giger, Ph.D.
April 04, 2022 1:00 p.m. - 2:00 p.m. ET

Maryellen L. Giger, Ph.D.

At the April NCI Imaging and Informatics Community Webinar, Dr. Maryellen L. Giger will discuss the development, validation, database needs, and future implementation of artificial intelligence in the clinical radiology workflow, which will include case studies on breast cancer and COVID-19 data.

Headshot of Trudy Zou
March 23, 2022 2:00 p.m. - 3:00 p.m. ET

Trudy Zou

At the upcoming Cancer Genomics Cloud (CGC) webinar, Ms. Trudy Zou, a University of Pittsburgh medical student, will present on behalf of her peers at Musculoskeletal Oncology Laboratory how they used the CGC to identify genomic alterations in a rare musculoskeletal tumor called “extraskeletal myxoid chondrosarcoma.”

Headshot of Ben Raphael
March 23, 2022 11:00 a.m. - 12:00 p.m. ET

Ben Raphael, Ph.D.

Dr. Ben Raphael will describe how tumors are heterogeneous mixtures of normal and cancerous cells with distinct genetic and transcriptional profiles. He’ll also discuss computational approaches to quantify tumor heterogeneity and reconstruct tumor evolution using data from single-cell DNA and spatial RNA sequencing technologies.