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Scientists at Sanford Burnham Prebys Medical Discovery Institute today announced they have released Coronascape (coronascape.org), a customized version of the Metascape bioinformatics platform that removes big-data analysis hurdles for biologists. Coronascape will enable scientists to interpret the growing body of big data related to COVID-19. More than 23,000 papers about COVID-19 have been published since January 2020–and this number continues to rise exponentially.
“A significant number of publications on SARS-CoV-2 contain large-scale OMICs data, which is not readily interpretable and actionable by many researchers, creating a big-data bottleneck,” says Sumit Chanda, Ph.D., director of the Immunity and Pathogenesis Program at Sanford Burnham Prebys and senior member of the Metascape team. “Coronascape provides a central clearinghouse for scientists to laser-focus their OMICs analysis and data-mining efforts to find effective drug targets, therapies and vaccines for COVID-19.”
Large-scale studies that map all of the genes, proteins, RNA and more that underlie a biological system–called OMICs studies–are standard tools for a modern biologist. However, interpreting these big-data outputs to generate meaningful, actionable information is far from routine.
“Analyzing results from OMICs studies requires sophisticated tools and highly trained computational scientists,” explains Yingyao Zhou, Ph.D., director of data science and data engineering …
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