Genoppi is an open-source software for robust and standardized integration of proteomic and genetic data

Greta Pintacuda; Frederik H. Lassen; Yu-Han H. Hsu; April Kim; Jacqueline M. Martín; Edyta Malolepsza; Justin K. Lim; Nadine Fornelos; Kevin C. Eggan; Kasper Lage

doi:10.1038/s41467-021-22648-5

Nature Communications (May 2021)

Genoppi is an open-source software for robust and standardized integration of proteomic and genetic data

Greta Pintacuda,
Frederik H. Lassen,
Yu-Han H. Hsu,
April Kim,
Jacqueline M. Martín,
Edyta Malolepsza,
Justin K. Lim,
Nadine Fornelos,
Kevin C. Eggan,
Kasper Lage

Affiliations

Greta Pintacuda: Stanley Center at Broad Institute of MIT and Harvard
Frederik H. Lassen: Stanley Center at Broad Institute of MIT and Harvard
Yu-Han H. Hsu: Stanley Center at Broad Institute of MIT and Harvard
April Kim: Stanley Center at Broad Institute of MIT and Harvard
Jacqueline M. Martín: Stanley Center at Broad Institute of MIT and Harvard
Edyta Malolepsza: Stanley Center at Broad Institute of MIT and Harvard
Justin K. Lim: Stanley Center at Broad Institute of MIT and Harvard
Nadine Fornelos: Stanley Center at Broad Institute of MIT and Harvard
Kevin C. Eggan: Stanley Center at Broad Institute of MIT and Harvard
Kasper Lage: Stanley Center at Broad Institute of MIT and Harvard

DOI: https://doi.org/10.1038/s41467-021-22648-5
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 10

Abstract

Read online

Genetic variation can impact protein complexes and interaction networks, but reconciling genetic and proteomic information remains challenging. To address this need, the authors develop Genoppi —a computational tool for integrating genetics and cell-type-specific proteomics data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal