Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jerome Garin
dblp:276/0967
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis |
0.4 | 1 | 2020 | Proline: an efficient and user-friendly software suite for large-scale proteomics · Bioinform. 2020 |
Bioinformatics and computational biology
proteomics |
0.4 | 1 | 2020 | Proline: an efficient and user-friendly software suite for large-scale proteomics · Bioinform. 2020 |
Bioinformatics and computational biology › proteomics › quantitative proteomics
label-free quantification |
0.1 | 1 | 2020 | Proline: an efficient and user-friendly software suite for large-scale proteomics · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
DDA label-free quantification · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Proline: an efficient and user-friendly software suite for large-scale proteomicsabstractMOTIVATION: 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. David Bouyssié, Anne-Marie Hesse, Emmanuelle Mouton-Barbosa, Magali Rompais, Charlotte Macron, Christine Carapito, Anne Gonzalez de Peredo, Yohann Couté, Véronique Dupierris, Alexandre Burel, Jean-Philippe Menetrey, Andrea Kalaitzakis, Julie Poisat, Aymen Romdhani, Odile Burlet-Schiltz, Sarah Cianférani, Jerome Garin, Christophe Bruley |
Bioinform. | 17 |