Rxivist logo

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

By April Kim, Edyta Malolepsza, Justin Lim, K Lage

Posted 09 Mar 2017
bioRxiv DOI: 10.1101/115576

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

Download data

  • Downloaded 791 times
  • Download rankings, all-time:
    • Site-wide: 17,290 out of 92,762
    • In bioinformatics: 2,614 out of 8,687
  • Year to date:
    • Site-wide: 47,535 out of 92,762
  • Since beginning of last month:
    • Site-wide: 63,669 out of 92,762

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)