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Columbia's Coronavirus Resource Center
Clinicians and researchers at the Columbia University Irving Medical Center are global leaders in responding to COVID-19. In addition to being at the forefront of the clinical and scientific response to the virus, CUIMC is committed to keeping patients and the CUIMC community informed about COVID-19. Information is updated throughout each day as the impact of the virus changes locally and nationally.
Decoding and Targeting RNA with CRISPR
Xuebing Wu, PhD, joined the Department of Systems Biology in the fall of 2018, with a joint appointment in the Department of Medicine’s Cardiology Division. He also is a member of the Herbert Irving Comprehensive Cancer Center at NewYork-Presbyterian/Columbia and the Data Science Institute, and his lab straddles basic science and computational biology. In this faculty Q+A, we learn how the Wu lab is making an impact in novel therapeutics. At the center of Dr. Wu's research interests is understanding the fundamental principles of gene regulation in human cells through integrative genomics approaches.
In the Press
A Systems Biology Approach to Target Pancreatic Cancer
Andrea Califano, Dr, chair of the Department of Systems Biology, has been featured in the “Promising Science” column of “Let’s Win! Pancreatic Cancer”. Dr. Califano discusses how systems biology is being used in cancer research in the development of better treatments by precisely targeting proteins called master regulators, instead of mutations. “I’m a systems biologist and we look at things differently than traditional biologists,” he says. “With systems biology we want to take cancer apart and see how it works, and the only way we can do that is by developing accurate computational models of how the cancer cell works.”
Book Offers Intro to Rapidly Growing Field of Topological Data Analysis
The deluge of data in the diverse field of biology comes with it the challenge of extracting meaningful information from large biological data sets. A new book, coauthored by Drs. Raul Rabadan and Andrew J. Blumberg, titled Topological Data Analysis for Genomics and Evolution, introduces central ideas and techniques of topological data analysis and aims to explain in detail a number of specific applications to biology.
Yufeng Shen, PhD: Seeking Discovery of Novel Genetic Variants that Cause Disease
Utilizing new methods, Yufeng Shen answers longstanding questions that impact health. Specifically, Dr. Shen's research has focused on discovering novel genetic variants that cause human diseases. He is developing new computational methods to interpret genome data, identifying genetic causes of human diseases by integrating multiple types of genomic data, and modeling of immune cell populations. Learn more about Dr. Shen and his lab's research in this recent faculty profile.