University of Utah researchers have launched Bam.iobio, which university officials say is the first app of its kind to allow scientists to analyze genome sequence data on their web browser, interactively, and in real-time, without having to rely on terabytes of storage and vast sources of computing power.
The resource, developed by a team led by Gabor Marth, co-director of the USTAR Center for Genetic Discovery and human genetics professor at the University of Utah, appears online in Nature Methods. The app analyzes BAM (binary alignment/map) sequence alignment files, data generated from sequencing machines with detailed information on sequence quality and coverage.
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