Proline: an efficient and user-friendly software suite for large-scale proteomics

Author:

Bouyssié David1,Hesse Anne-Marie2,Mouton-Barbosa Emmanuelle1,Rompais Magali3,Macron Charlotte3,Carapito Christine3,Gonzalez de Peredo Anne1,Couté Yohann2,Dupierris Véronique2,Burel Alexandre3,Menetrey Jean-Philippe2,Kalaitzakis Andrea2,Poisat Julie1,Romdhani Aymen3,Burlet-Schiltz Odile1,Cianférani Sarah3,Garin Jerome2,Bruley Christophe2

Affiliation:

1. Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France

2. Université Grenoble Alpes, Inserm, CEA, IRIG, BGE, Grenoble 38000, France

3. Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, Strasbourg 67087, UMR 7178, France

Abstract

Abstract Motivation The proteomics field requires the production and publication of reliable mass spectrometry-based identification and quantification results. Although many tools or algorithms exist, very few consider the importance of combining, in a unique software environment, efficient processing algorithms and a data management system to process and curate hundreds of datasets associated with a single proteomics study. Results Here, we present Proline, a robust software suite for analysis of MS-based proteomics data, which collects, processes and allows visualization and publication of proteomics datasets. We illustrate its ease of use for various steps in the validation and quantification workflow, its data curation capabilities and its computational efficiency. The DDA label-free quantification workflow efficiency was assessed by comparing results obtained with Proline to those obtained with a widely used software using a spiked-in sample. This assessment demonstrated Proline’s ability to provide high quantification accuracy in a user-friendly interface for datasets of any size. Availability and implementation Proline is available for Windows and Linux under CECILL open-source license. It can be deployed in client–server mode or in standalone mode at http://proline.profiproteomics.fr/#downloads. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

French National Agency for Research

ANR

ProFI project

Infrastructures Nationales en Biologie et Santé

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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