New method reveals how differences in the genetic “instruction booklet” between humans and Neanderthals influenced traits
Oct. 7, 2019—When it comes to our differences from Neanderthals, most of what we know comes from comparing fossils. But fossils can only tell us about bones and not whole living organisms. That’s changing thanks to a new paper from a team of genomics researchers at Vanderbilt, who have developed a first-of-its-kind computational method. Their approach uses...
Sep. 26, 2019—Tony Capra, Lisa Fazio and Renã A.S. Robinson have been selected as Chancellor’s Public Voices Fellows for the spring 2020 semester.
Aug. 25, 2017—Vanderbilt’s most prestigious faculty award for accomplishments in research, scholarship or creative expression was given to Larry Bartels during the 2017 Fall Faculty Assembly on Aug. 24.
Dec. 16, 2016—Artificial kidneys, gay-straight alliances and junkyard batteries captured readers' attention in 2016.
Feb. 11, 2016—The first study that directly compares Neanderthal DNA in the genomes of a significant population of adults of European ancestry with their clinical records confirms that this archaic genetic legacy has a subtle but significant impact on modern human biology.
Nov. 11, 2015—An interdisciplinary team of biologists and medical researchers have created a new platform, which they call GEneSTATION specifically designed to leverage the growing knowledge of human genomics and evolution to advance scientific understanding of human pregnancy and translate it into new treatments for the problems that occur when this complex process goes awry.
Nov. 22, 2013—Using computational tools to search for the genetic basis of what makes us human, Vanderbilt Assistant Professor of Biomedical Informatics Tony Capra and colleagues at the University of California-San Francisco have identified promising candidate regions.
Oct. 3, 2013—Tony Capra, Ph.D., is a new assistant professor of Biomedical Informatics and investigator in the Center for Human Genetics Research at Vanderbilt. His goal is to use the tools of computer science to address problems in genetics, evolution and biomedicine.