Cancer Data Science Pulse

Informatics Tools

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.

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

As NCI recognizes Breast Cancer Awareness Month this October, we highlight several data science resources to assist in your breast cancer research.

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.

This year’s theme for World Cancer Research Day is “support research to prevent cancer and catch it early.” How can data science drive progress in international cancer research? Check out our NCI resources and learn what we have to support those global research efforts.

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.

As NCI recognizes Childhood Cancer Awareness Month this September, we highlight a list of data science resources and tools to aid your pediatric cancer research.

Having trouble staying up to date on cancer variants? CIViC (or Clinical Interpretation of Variants in Cancer) offers an open-source knowledgebase and web interface to help connect researchers to the latest published findings on a full range of variant interpretations.