Net worth

One of the byproducts of large-scale screening programs is the wealth of data left on the cutting room floor that aren't analyzed beyond the studies' original aims. A group of systems biologists has developed a computational resource, ImmuNet, that combs through data sets from different fields to find new molecular associations within the immune system.

The researchers, who are based at the Icahn School of Medicine at Mount Sinai and Princeton University, used a Bayesian integration approach on public data from RNA sequencing, protein-protein interactions, transcription factor binding, miRNA binding and phenotypic studies, and published their results in Immunity last month...