Cancer Data Science Pulse

To the NCI Cancer Research Data Commons, cloud computing means three words: NCI Cloud Resources. These are real-world examples of making data accessible and available to all cancer researchers. Kicking off the first of a four-part blog series, the NCI Cloud Resources share their origin story and the problems that cloud computing could solve in cancer research.

Data have been the driving force behind a number of important scientific discoveries. In this latest blog, Dr. Jerry Li describes how data helped power technological advances to unravel the human genome. What’s the next big advance? According to Dr. Li, the blending of data and artificial intelligence is the fastest moving area of research and has the potential to once again revolutionize scientific discovery.

Love data? This latest blog continues our look at why data are important to cancer research. Here Emily Boja, Ph.D., Subhashini Jagu, Ph.D., and Eytan Ruppin, M.D., Ph.D., discuss why they love data.

The body’s microbiome has a profound effect on health and disease, including cancer. Read how the field of bioinformatics is helping define the microbiome’s composition and function, which could lead to new ways of treating cancer.

In recognizing the Power of Data and celebrating NCI’s 50th anniversary, we asked Dr. Ned Sharpless what data means to him and the field of cancer research. Read about his past experiences and where he thinks data will take cancer research in the future!

On May 24, CBIIT welcomed Dr. Jill Barnholtz-Sloan as the new associate director for Informatics and Data Science. In this latest Q&A blog, Dr. Barnholtz-Sloan tells a little about herself, including what brought her to CBIIT, what keeps her centered, and what makes her most proud.

CBIIT’s May 19 Data Science Seminar Series speaker, Dr. Kristen Naegle, took the speed of computational biology, blended it with basic science know-how, and developed an algorithm that is proving to be remarkably effective in predicting kinase activity. Understanding kinases in oncology may help identify people who are more likely to respond (or not respond) to certain medications, further advancing precision medicine.

Dr. Charles Wang offers a sneak peek at his upcoming Data Science Seminar presentation, scheduled for April 7. His recent study provides guidance for choosing an appropriate scRNA-seq platform and software tool for a scRNA-seq study. Using these guidelines, scientists can select the workflow that will yield the most meaningful results.

What do winter storms, airplanes, and cancer research have in common? In this blog, experts on meteorology, aerospace engineering, and radiation oncology explore what we can learn from these very different fields to further advance how we target and apply radiation to more effectively treat cancerous tumors.

Imagine a day when your healthcare is so personalized that there’s no guessing as to what medication will work best for you or whether you are at risk for a particular disease. This is a bold prediction recently addressed by genomic experts, Dr. Karen Miga and Dr. Evan Eichler. This blog examines how advances in technology are drawing us closer to a time when genomic information becomes a routine part of every patient’s healthcare.