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.
Highly Cited Researchers
Congratulations to Drs. Raul Rabadan and Xuebing Wu who were recently named a Highly Cited Researcher, according to the 2019 list from the Web of Science Group. Overall, Columbia University ranked 15th on the list of global institutions, with a total of 47 Highly Cited Researchers.
Detailed Map Gives Scientists a New Window into how Human-Infecting Viruses Work
Columbia University biologists leveraged a computational method to map protein-protein interactions between all known human-infecting viruses and the cells they infect. The method, along with the data that it generated, has spawned a wealth of information toward improving our understanding of how viruses manipulate the cells that they infect and cause disease. Among its findings, the work uncovered a role for estrogen receptor in regulating Zika Virus infection, as well as links between cancer and the human papillomavirus. The research, led by Dr. Sagi Shapira, appears Aug. 29 in the journal, Cell.
Making Strides in Mapping the Human Cell Atlas
In two groundbreaking research projects contributing to the Human Cell Atlas, Columbia University scientists are tasked with mapping complete cells in the immune system and the human spine. The global effort is aiming to identify and define every cell type of the human body and create a collection of maps for navigating the cellular basis of human health and disease. The Columbia teams include co-principal investigators from the Department of Systems Biology Drs. Peter Sims and Raul Rabadan, and are among the 38 collaborative science teams launching the Chan Zuckerberg Initiative’s Seed Networks for the Human Cell Atlas project announced June 21.
Identifying High-Risk Factors of Pancreatic Cancer
Armed with a new two-year, $1 million grant from the Pancreatic Cancer Collective, a global team of researchers, led by Dr. Raul Rabadan, is working to develop a comprehensive computational framework that will identify high-risk factors for pancreatic cancer. The team will attack pancreatic cancer research from multiple disciplines—genomics, mathematics and medicine—to provide an integrated approach to studying the contributing factors to this lethal disease. The need for a deeper understanding of pancreatic cancer is pressing--it is projected to become the second leading cause of cancer-related mortality within the next decade.