Abstract 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/Genoppi Contact aprilkim@broadinstitute.org and lage.kasper@mgh.harvard.edu

Genoppi: a web application for interactive integration of experimental proteomics results with genetic datasets