<?xml version="1.0" encoding="UTF-8"?><item href="/news/early-career-award-will-help-researchers-tap-goldmine-of-hidden-data.aspx" dsn="blogs"><homehero/><unit>Faculty &amp; Staff,Research,Students,Biochemistry,CMSE,College of Natural Science</unit><pubDate>04/29/2021</pubDate><title>Early CAREER Award will help researchers tap goldmine of hidden data</title><description><p>MSU computational biologist Arjun Krishnan is the recipient of a 5-year, $704,889 NSF Early CAREER Award to develop machine learning approaches that will automatically annotate publicly available samples from human and major animal models on a massive scale. His efforts will allow researchers to seamlessly search and re-analyze immense reserves of untapped omics data for advances in biology and human health. The award will also support Krishnan’s efforts to help students interested in programming and data science gain access to the “hidden curriculum” of bioinformatics.</p></description><author/><hero-image><img src="https://natsci.msu.edu/sites/_natsci/cache/file/E2DCA3F7-E5D1-4FAD-9C6C5503518AC17F_newsarticlehero.png" alt="Hero image"/></hero-image><image><img src="https://natsci.msu.edu/sites/_natsci/cache/file/E2DCA3F7-E5D1-4FAD-9C6C5503518AC17F_medium.png" alt="Hero image"/></image><tags><tag>annotation</tag><tag>faculty</tag><tag>machine learning</tag><tag>omics data</tag><tag>research</tag><tag>searchable database</tag></tags></item>