Cancer Data Science Pulse

Training

How can data science support your cancer research? Explore this helpful quick start guide to find out! We’ll show you an overview of how data science enhances cancer research and how you can get started applying it to your work.

Learn what one NCI hiring manager is looking for when interviewing a candidate for a cancer data scientist job. CBIIT’s own Dr. Daoud Meerzaman provides his input on what certain questions mean during the interview process.

Did you ever wonder what goes into making data ready for analysis by researchers around the world? In this video blog, meet "Datum," a single speck of genomic data chronicling how NCI supports cancer research by bringing data to life.

We’re continuing our blog series on data visualizations with a look at circular heatmaps and biplots. This blog features images and tips from Drs. Arashdeep Singh and Sridhar Hannehalli of NCI’s Center for Cancer Research.

Are you researching genomic abnormalities? Bioinformatician Deena Bleich gives an overview of the online tool, “Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer,” and how it can help you analyze genomic data.

In this blog, we’re spotlighting how researchers can leverage FireCloud, one of NCI’s Cloud Resources, for accessing data, running analysis, and collaborating with others in the cancer research community.

Do you know how the 2023 NIH Data Management and Sharing Policy will impact your work? If you are seeking NCI funding, this blog is for you. We cover the key policy distinctions, implementation changes, and resources to help you navigate the process.

Looking for ways to visualize your data? We asked data scientists to show us their favorite visualizations. Here, Dr. Alida Palmisano of NCI's Computational and Systems Biology Branch shares her ideas for visualizing complex single-cell RNA sequencing data.

Watch our time capsule video to learn about the current status of the field and new technologies that are sure to be important as we embark on the next era of cancer data research.

Discover how NIH is working to make generalist repositories (GRs) part of the data sharing ecosystem. The goal is to minimize data sharing barriers while still taking advantage of GR convenience and usability.