In this interview, Mihai Pop, an assistant professor of computer science at the University of Maryland, discusses his research as part of the CluE initiative between Google, IBM and NSF. His research focuses on developing parallel algorithms for analyzing the next generation of sequencing data. Scientists can now generate the rough equivalent of an entire human genome in just a few days with one single sequencing instrument. The analysis of these data is complicated by their size - a single run of a sequencing instrument yields terabytes of information, often requiring a significant scale-up of the existing computational infrastructure needed for analysis.
Credit: National Science Foundation
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