Presentation/Conference
Exploring The Landscape Of Breast Cancer Multi-omics Analysis On The Cancer Genomics Cloud
April 28, 2021 2:00 p.m. - 3:00 p.m. ET

Vesna Pajic, Ph.D. and Nevena Vukojicic

During this month’s Cancer Genomics Cloud (CGC) webinar, bioinformaticians Dr. Vesna Pajic and Nevena Vukojicic will show attendees how to use CGC features to perform multi-omics analysis on data from The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC).

Numbers in blue are streaked across going from left to right and intersect in the middle of a black background with reddish orange numbers going top to bottom.
April 28, 2021 - April 29, 2021

In this public workshop, participants, including data repository managers, will discuss the challenges and opportunities for researchers, institutions, and funders to establish effective data management and sharing practices.

Headshot of Bill Wysocki, Ph.D.
April 26, 2021 2:00 p.m. - 3:00 p.m. ET

Bill Wysocki, Ph.D.

The latest NCI Genomic Data Commons (GDC) monthly support webinar will cover using the GDC Application Programming Interface (API) to systematically access its data and tools.

An advertisement for the Virtual Proteomics Workshop. The bottom half of the advertisement contains the images the two speakers for the event.  The top half contains text reading: Virtual Proteomics Workshop
April 21, 2021 1:00 p.m. - 3:00 p.m. ET

Dave Roberson, Felipe da Veiga Leprevost, Ph.D.

Register to attend a hands-on workshop on connecting and analyzing the Proteomic Data Commons’ data within the Cancer Genomics Cloud powered by Seven Bridges.

Professional headshot of Nicholas Navin, Ph.D.
April 20, 2021 3:00 p.m. - 4:00 p.m. ET

Nicholas Navin, Ph.D.

In this webinar, MD Anderson Cancer Center Professor, Dr. Nicholas Navin, will present on breast cancer evolution through the lens of single-cell genomics.

Magnifying glass over a piece of paper honing in on the word, METADATA.
April 20, 2021 2:00 p.m. - 3:00 p.m. ET

Gargi Singh Chhatwal

Looking to leverage data sets that are available through the National Center for Biotechnology Information’s servers? In this webinar, Mr. Gargi Chhatwal will demo Amazon’s Athena: a serverless, interactive query service that makes it easy to analyze this data in Amazon Simple Storage Service.

Headshot of Antony Williams, Ph.D.
April 20, 2021 11:00 a.m. - 12:00 p.m. ET

Antony J. Williams, Ph.D.

This presentation will provide an overview of the “CompTox Chemicals Dashboard,” illustrating not only how it has developed into an integrated data hub for environmental data, but also how it provides a foundation to support both exposomics and metabolomics research.

Professional Headshot of Nilanjan Chatterjee, Ph.D.
April 20, 2021 11:00 a.m. - 12:00 p.m. ET

Nilanjan Chatterjee, Ph.D.

This webinar’s speaker, Dr. Nilanjan Chatterjee, is known for foundational and methodological contributions to multiple areas of modern biomedical data science, including large-scale analysis of genetic associations, gene-environment interactions, polygenic risk scores, and predictive model building by synthesis of information from multiple data sources.

Depiction of robotic humanoid emitting a blue light projection and DNA-affiliated letters from the back of its cranium.
April 13, 2021 - April 14, 2021

The National Human Genome Research Institute (NHGRI) Data Science Working Group is hosting this 2-day workshop to bring together members of the genomics and machine learning (ML) research communities. Discussions will examine the opportunities and obstacles underlying the application of ML methods to basic genome sciences and genomic medicine.

Brick sign outside of building reading, Frederick National Laboratory for Cancer Research
April 08, 2021 9:00 a.m. - 6:00 p.m. ET

Industries, academia, and other organizations who are interested in competing for the contract to operate the Frederick National Laboratory for Cancer Research (FNLCR) are invited to attend “FFRDC Industry Day.” This will be an opportunity to learn more about the FNLCR’s mission, scientific programs/capabilities (like cancer data science), and the laboratory’s management, facilities, and business operations.