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

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 algor...

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Autores principales: Bouyssié, David, Hesse, Anne-Marie, Mouton-Barbosa, Emmanuelle, Rompais, Magali, Macron, Charlotte, Carapito, Christine, Gonzalez de Peredo, Anne, Couté, Yohann, Dupierris, Véronique, Burel, Alexandre, Menetrey, Jean-Philippe, Kalaitzakis, Andrea, Poisat, Julie, Romdhani, Aymen, Burlet-Schiltz, Odile, Cianférani, Sarah, Garin, Jerome, Bruley, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214047/
https://www.ncbi.nlm.nih.gov/pubmed/32096818
http://dx.doi.org/10.1093/bioinformatics/btaa118
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author Bouyssié, David
Hesse, Anne-Marie
Mouton-Barbosa, Emmanuelle
Rompais, Magali
Macron, Charlotte
Carapito, Christine
Gonzalez de Peredo, Anne
Couté, Yohann
Dupierris, Véronique
Burel, Alexandre
Menetrey, Jean-Philippe
Kalaitzakis, Andrea
Poisat, Julie
Romdhani, Aymen
Burlet-Schiltz, Odile
Cianférani, Sarah
Garin, Jerome
Bruley, Christophe
author_facet Bouyssié, David
Hesse, Anne-Marie
Mouton-Barbosa, Emmanuelle
Rompais, Magali
Macron, Charlotte
Carapito, Christine
Gonzalez de Peredo, Anne
Couté, Yohann
Dupierris, Véronique
Burel, Alexandre
Menetrey, Jean-Philippe
Kalaitzakis, Andrea
Poisat, Julie
Romdhani, Aymen
Burlet-Schiltz, Odile
Cianférani, Sarah
Garin, Jerome
Bruley, Christophe
author_sort Bouyssié, David
collection PubMed
description 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.
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spelling pubmed-72140472020-05-15 Proline: an efficient and user-friendly software suite for large-scale proteomics Bouyssié, David Hesse, Anne-Marie Mouton-Barbosa, Emmanuelle Rompais, Magali Macron, Charlotte Carapito, Christine Gonzalez de Peredo, Anne Couté, Yohann Dupierris, Véronique Burel, Alexandre Menetrey, Jean-Philippe Kalaitzakis, Andrea Poisat, Julie Romdhani, Aymen Burlet-Schiltz, Odile Cianférani, Sarah Garin, Jerome Bruley, Christophe Bioinformatics Original Papers 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. Oxford University Press 2020-05-15 2020-02-25 /pmc/articles/PMC7214047/ /pubmed/32096818 http://dx.doi.org/10.1093/bioinformatics/btaa118 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Bouyssié, David
Hesse, Anne-Marie
Mouton-Barbosa, Emmanuelle
Rompais, Magali
Macron, Charlotte
Carapito, Christine
Gonzalez de Peredo, Anne
Couté, Yohann
Dupierris, Véronique
Burel, Alexandre
Menetrey, Jean-Philippe
Kalaitzakis, Andrea
Poisat, Julie
Romdhani, Aymen
Burlet-Schiltz, Odile
Cianférani, Sarah
Garin, Jerome
Bruley, Christophe
Proline: an efficient and user-friendly software suite for large-scale proteomics
title Proline: an efficient and user-friendly software suite for large-scale proteomics
title_full Proline: an efficient and user-friendly software suite for large-scale proteomics
title_fullStr Proline: an efficient and user-friendly software suite for large-scale proteomics
title_full_unstemmed Proline: an efficient and user-friendly software suite for large-scale proteomics
title_short Proline: an efficient and user-friendly software suite for large-scale proteomics
title_sort proline: an efficient and user-friendly software suite for large-scale proteomics
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214047/
https://www.ncbi.nlm.nih.gov/pubmed/32096818
http://dx.doi.org/10.1093/bioinformatics/btaa118
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