Cancer Data Science Pulse

Genomics

We’re celebrating “Love Data Week” by featuring scientists who love data—especially diverse data. In this blog, scientists tell why they love diverse data and offer tips for increasing diversity in your research data.

Read the blogs that topped our charts in 2023, and see if your favorite made #1!

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.

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.

Read the blogs that topped our charts in 2022 and see if your favorite made #1!

Learn more about new streamlined access to broad-use data sets within the database of Genotypes and Phenotypes (dbGaP).

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.

On April 6, Dr. Malachi Griffith will present the next Data Science Seminar, “Bioinformatics Approaches for Neoantigen Identification and Prioritization.” Here, Dr. Griffith tells how his tinkering with computers, bioinformatics, and genomics is helping him understand the complexities of this promising research area. If successful, neoantigen-based cancer therapies could prove to be the pinnacle of personalized medicine.

On March 23, Dr. Ben Raphael will present the next Data Science Seminar, “Quantifying tumor heterogeneity using single-cell and spatial sequencing.” In this blog, Dr. Raphael describes how he’s using this technology to dig deeper into the complexity of cancer.