TY - JOUR T1 - Genoppi: a web application for interactive integration of experimental proteomics results with genetic datasets JF - bioRxiv DO - 10.1101/115576 SP - 115576 AU - April Kim AU - Edyta Malolepsza AU - Justin Lim AU - Kasper Lage Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/03/16/115576.abstract N2 - Summary Integrating protein-protein interaction experiments and genetic datasets can lead to new insight into the cellular processes implicated in diseases, but this integration is technically challenging. Here, we present Genoppi, a web application that integrates quantitative interaction proteomics data and results from genome-wide association studies or exome sequencing projects, to highlight biological relationships that might otherwise be difficult to discern. Written in R, Python and Bash script, Genoppi is a user-friendly framework easily deployed across Mac OS and Linux distributions.Availability Genoppi is open source and available at https://github.com/lagelab/GenoppiContact aprilkim{at}broadinstitute.org and lage.kasper{at}mgh.harvard.edu ER -