| P50 | author | David Bouyssié | Q88531820 |
| | Odile Burlet-Schiltz | Q125132871 |
| | Emmanuelle Mouton-Barbosa | Q125132878 |
| P2093 | author name string | Yohann Couté | |
| | Sarah Cianférani | |
| | Christine Carapito | |
| | Anne Gonzalez de Peredo | |
| | Christophe Bruley | |
| | Véronique Dupierris | |
| | Anne-Marie Hesse | |
| | Magali Rompais | |
| | Charlotte Macron | |
| | Alexandre Burel | |
| | Jerome Garin | |
| | Aymen Romdhani | |
| | Andrea Kalaitzakis | |
| | Jean-Philippe Menetrey | |
| | Julie Poisat | |
| P2860 | cites work | The coming age of complete, accurate, and ubiquitous proteomes | Q86200825 |
| | A statistical model for identifying proteins by tandem mass spectrometry | Q28186251 |
| | A guide to the Proteomics Identifications Database proteomics data repository | Q28748628 |
| | MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification | Q29547200 |
| | ProteomeXchange provides globally coordinated proteomics data submission and dissemination | Q29614806 |
| | High performance computational analysis of large-scale proteome data sets to assess incremental contribution to coverage of the human genome | Q30619612 |
| | mzDB: a file format using multiple indexing strategies for the efficient analysis of large LC-MS/MS and SWATH-MS data sets | Q30878078 |
| | Interpretation of shotgun proteomic data: the protein inference problem | Q30993883 |
| | Benchmarking quantitative label-free LC-MS data processing workflows using a complex spiked proteomic standard dataset. | Q31026587 |
| | hEIDI: An Intuitive Application Tool To Organize and Treat Large-Scale Proteomics Data. | Q31123546 |
| | An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data | Q31141751 |
| | Data analysis and bioinformatics tools for tandem mass spectrometry in proteomics | Q33315747 |
| | Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. | Q34157715 |
| | Comparative LC-MS: a landscape of peaks and valleys | Q37093728 |
| | Combining results of multiple search engines in proteomics | Q37160902 |
| | Tools for label-free peptide quantification | Q38068311 |
| | Mass-spectrometric exploration of proteome structure and function | Q38954701 |
| | ABRF Proteome Informatics Research Group (iPRG) 2015 Study: Detection of Differentially Abundant Proteins in Label-Free Quantitative LC-MS/MS Experiments | Q39089933 |
| | Confident phosphorylation site localization using the Mascot Delta Score | Q39819782 |
| | A new algorithm using cross-assignment for label-free quantitation with LC-LTQ-FT MS. | Q43156780 |
| | Fast, axis-agnostic, dynamically summarized storage and retrieval for mass spectrometry data | Q47169943 |
| | Region and cell-type resolved quantitative proteomic map of the human heart. | Q47171886 |
| | Social network architecture of human immune cells unveiled by quantitative proteomics | Q47967815 |
| | PeptideShaker enables reanalysis of MS-derived proteomics data sets. | Q49024658 |
| P275 | copyright license | Creative Commons Attribution-NonCommercial 4.0 International | Q34179348 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P577 | publication date | 2020-02-25 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | Proline: an efficient and user-friendly software suite for large-scale proteomics | |