Newswise — Many biomedical researchers are striving to make sense of the flood of data that has followed recent advances in genomic sequencing technologies. In particular, researchers are often limited by the challenge of getting multiple bioinformatics tools to “talk” to one another. To help address this need, researchers at University of California, San Diego School of Medicine, in collaboration with labs at the Broad Institute of MIT and Harvard, Stanford University, Weizmann Institute and Pennsylvania State University, developed GenomeSpace, a cloud-based, biologist-friendly platform that connects more than 20 bioinformatics software packages and resources for genomic data analysis.
The team is now developing and crowdsourcing “recipes” — step-by-step workflows — to better enable non-programming researchers to interpret their genomic data. The work is described in a paper published January 18, 2016 in Nature Methods.