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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7214047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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