Over the past few years we and others have produced a large number of proteomics datasets that revealed many putative RNA-binding proteins (RBPs).

However, it was unclear from our data what fraction of these putative RBPs were genuine RNA-binders.

Therefore, to enhance the experimental data, we developed pyRBDome, a comprehensive pipeline that enables users to identify putative RNA-binding regions within proteins and perform statistical analysis to determine if peptides identified in these proteomics studies are indeed bona-fide RNA-binding regions.

This project was spearheaded by two former PhD students in my lab (Niki Christopoulou and Hugh McCaughan) and a post-doc (Liangcui Chu) as well as a small army of honour and MSc students that made important contributions!