Johns Hopkins University's Dr. Seth Blackshaw, from the Department of Neuroscience, and Dr. Ben Langmead, from the Department of Computer Science and their research teams have published a study in the journal Nature Communications outlining ASCOT, a computational resource of splice variants across thousands of publicly available RNA-seq datasets. Lead author and Kavli NDI Postdoctoral Fellow, Dr. Jonathan Ling, and colleagues leveraged ASCOT to determine how novel cell type-specific splicing variants are regulated across the nervous system. This study demonstrates how large-scale analysis of public data can yield key insights into biology by reducing the initial barriers to data analysis and fostering cross-disciplinary discoveries. Download the full article here.
Collaboration between the Departments of Neuroscience and Computer Science develop new computational methods to integrate public sequencing data
Kavli NDI Postdoctoral Fellow, Dr. Jonathan Ling, and colleagues developed a computational data mining resource, ASCOT, to determine how novel cell type-specific splicing variants are regulated across the nervous system.