Pop likens this process to completing a jigsaw puzzle. "If you have a reference genome, it's like having the box with the picture on the front to guide your assembly," he said. "With no reference, it's like having no picture and no idea what the finished product will look like; with lots of sky and ocean pieces that fit very loosely together."
Such a process requires a lot of computing power because of the number of possibilities and level of uncertainty. Computer clusters can do all the comparisons of sequence combinations and decide on the best one. But computer power and expense of systems are a limiting factor.
Pop's team will spend the next two years determining whether it is feasible and beneficial to do this analysis through cluster computers available on the internet. He will write software programs that, if successful, will be made available for researchers to use at no cost, and his results will be made available through journal articles and conference presentations.
Teaching and mentoring of both grads and undergrads will also be a large component of the grant, which Pop hopes will help entice talented computer science students to go into the biotechnology industry where their skills are needed.
Bioinformatics and Computational Biology at Maryland
Pop is a researcher in the University of Maryland Center for Bioinformatics and Computational Biology (CBCB), a multidisciplinary center dedicated to research on questions arising from the genome revolution. The center is a joint effort between the College of Chemical and Life Sciences and the College of Mathematical, Computer, and Physical Sciences, and is organized as a center within the University of Maryland Institute for Advanced Computer Studies (UMIACS).
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| Contact: Lee Tune ltune@umd.edu 301-405-4679 University of Maryland Source:Eurekalert |