Bam.iobio: An Interactive, Real-Time, Sequence Alignment Inspector App

Bam.iobio is the first app of its kind that allows 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, D.Sc., co-director of the USTAR Center for Genetic Discovery and human genetics professor at the University of Utah, appears online in the journal Nature Methods on Nov. 25.

“The ability to generate data on the scale of the entire genome at ever-decreasing costs has taken the community by surprise,” says Marth. “We want to make this data really useful to the researchers. We’re eliminating the need for expensive computational and hardware investments that before had limited this type of analysis to typically being done in institutional-scale data centers.”

The app analyzes BAM sequence alignment files, data generated from sequencing machines with detailed information on sequence quality and coverage. Ordinarily BAM interpretation takes hours or even longer to complete, and is encoded in an only machine-readable format. For the first time, bam.iobio puts this type of detailed inspection into the hands of the researcher. Data are expressed in a graphic interface that is easy-to-use and intuitive, enabling scientists to focus in on specific regions or genes of interest, if desired. The responsive format empowers the user to customize analysis parameters on the fly, returning query results in real-time. 

Learn more about bam.iobio.io and the IOIBO platform.

Listen to an interview with Gabor Marth on The Scope Radio.

Bam.iobio Puts Sequence Alignment Inspection Into The Hands Of Researchers

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