CBIIT Cancer Data Science Pulse Blog
A data science blog featuring news and updates from CBIIT.
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How the Mitelman Database Can Help You Explore Genomic AbnormalitiesAre 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 she highlights how it can help you analyze genomic data.
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Data Set 411: The National Lung Screening TrialGet highlights of the “data deets” (or details) for the National Lung Screening Trial (NLST).
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Your Guide to the 2023 NIH Data Management and Sharing PolicyLearn about key policy distinctions, implementation changes, and resources to help you navigate the process.
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Visualizing RNA-seq Data—Pro-Tips From an NCI Bioinformatics EngineerDr. Alida Palmisano of NCI's Computational and Systems Biology Branch shares her ideas for visualizing complex single-cell RNA sequencing data.
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NCI’s Data Science Time Capsule—A Snapshot in TimeThe data science time capsule has been buried for now, but we’ll be digging it up again to check our progress on January 29, 2028.
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Career Confessions From a Cancer Data ScientistEight National Cancer Institute data scientists share their advice on what you should know to start a career in cancer data science.
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Next Generation Artificial Intelligence: New Models Help Unleash the Power of AIMeet the people who are breaking new ground in the data science field—whether it’s a new tool, a new model, or a completely new way of using data.
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Datum and Artificial Intelligence—A Perfect MatchSee why the data-AI relationship works so well for cancer research in this offbeat blog featuring two fictitious characters—Datum and his pal, Aida.
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Using Bioinformatics to Solve the Neoantigen PuzzleDr. Griffith tells how his tinkering with computers, bioinformatics, and genomics is helping him understand the complexities of this promising research area.
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An Introduction to Cloud Computing for Cancer ResearchCBIIT’s NIH Data and Technology Advancement (DATA) Scholar, Dr. Jay G. Ronquillo, offers a bird’s-eye view of cloud computing, including tips for managing costs, access, and training to help advance precision medicine and cancer research.
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Blending Weather Forecasting with Team Science Leads to Advances in Cancer ImmunotherapyDr. Elana J. Fertig describes how she is using artificial intelligence, blended with spatial and single cell technologies, to better understand how cancer will respond to treatment.
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ITCR Network Puts Cancer Research Tools and Training at Your FingertipsA new resource from NCI’s Informatics Technology for Cancer Research program gives researchers, with varying skills and experience, the training they need to manage technology-driven approaches to cancer research and care.
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Semantics PrimerDiscover how semantics strengthens biomedical informatics and data science. Learn how systems improve data interoperability, making it easier to integrate diverse datasets and support researchers in unlocking deeper insights.
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Five Data Science Technologies Driving Cancer ResearchTo commemorate the National Cancer Act’s 50th anniversary, we’ve pulled together Five Data Science Technologies poised to make a difference in how cancer is diagnosed, treated, and prevented.
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Wrangling Data for Microbiome Research—Focus on QIIME 2Look at a key NCI-supported bioinformatics tool called QIIME 2, which is helping us better understand the microbiome and its impact on disease.
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Striking a Balance Between Open Data and Individual PrivacyExamine how processes and policies are helping address privacy concerns in today’s ever-changing “big data” landscape.
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Microbiome Bioinformatics Offers New Insight Into Bacteria’s Impact on CancerRead how the field of bioinformatics is helping define the microbiome’s composition and function, which could lead to new ways of treating cancer.
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Meteorology, Aerospace Engineering, and Cancer Research—The Future of Predictive ModelingExperts from meteorology, aerospace, and oncology share insights to improve both radiation targeting and cancer treatment.
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In The Year 2030—Looking at How Genomic Data Might EvolveDrs. Karen Miga and Evan Eichler examine how advances in technology are drawing us closer to a time when genomic information becomes a routine part of every patient’s healthcare.
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Machine Learning and Computer Vision Offer a New Way of Looking at CancerDiscover how artificial intelligence and computer vision are transforming healthcare by enabling faster, more precise analysis of histological images.