Story Summary: Today, most personal computers can only process a few hundred thousand calculations per second. GRAPPA is currently the most accurate method for determining genome rearrangement, but it has only been applied to small genomes with simple events because of the limitation of the algorithms and the lack of computational power, explained Bader, who is also executive director of high-performance computing at Georgia Tech. On a dataset of a dozen bellflower genomes, the latest version of GRAPPA determined the flowers evolutionary relatedness one billion times faster than the original implementation that did not utilize parallel processing or optimization. The researchers will test the performance of their new algorithms by analyzing a collection of fruit fly genomes. The researchers believe these new algorithms will make genome rearrangement analysis more reliable and efficient, while potentially revealing new evolutionary patterns. In addition, the algorithms will enable a better understanding of the mechanisms and rate of gene rearrangements in genomes, and the importance of the rearrangements in shaping the organization of genes within the genome. This material is based upon work supported by the National Science Foundation (NSF) under Award Nos. Source: Abby Vogel Georgia Institute of Technology Research News Any medical information published on this website is not intended as a substitute for informed medical advice and you should not take any action before consulting with a health care professional. Experts believe this may be because coffee has high levels of antioxidants and magnesium….Read the Full Story

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