Demo Data from VLDB 2026 / reviewers in the wild / expert
Julien Marcoux
dblp:236/1635
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-7321-7436ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021
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
3 papers |
Bioinformatics and computational biology · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
proteomics |
1.4 | 2 | 2026 | HaDeX2: multi-dimensional analysis of hydrogen-deuterium exchange mass spectrometry data · Bioinform. 2026 VisioProt-MS: interactive 2D maps from intact protein mass spectrometry · Bioinform. 2019 |
Bioinformatics and computational biology › proteomics
hydrogen deuterium exchange mass spectrometry analysis |
1.0 | 1 | 2026 | HaDeX2: multi-dimensional analysis of hydrogen-deuterium exchange mass spectrometry data · Bioinform. 2026 |
Bioinformatics and computational biology
structural biology |
0.4 | 1 | 2019 | HDX-Viewer: interactive 3D visualization of hydrogen-deuterium exchange data · Bioinform. 2019 |
Bioinformatics and computational biology › metabolomics
liquid chromatography-mass spectrometry data analysis |
0.1 | 1 | 2019 | VisioProt-MS: interactive 2D maps from intact protein mass spectrometry · Bioinform. 2019 |
Visualization and visual analytics › scientific visualization
molecular visualization |
0.1 | 1 | 2019 | HDX-Viewer: interactive 3D visualization of hydrogen-deuterium exchange data · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
statistical inference · 1.0data visualization · 1.03d molecular visualization · 0.8deconvolution · 0.42d map rendering · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | HaDeX2: multi-dimensional analysis of hydrogen-deuterium exchange mass spectrometry dataabstractSUMMARY: Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS) monitors deuterium uptake at the peptide level, in a time-dependent manner. It produces complex, multi-dimensional data that must be interpreted at minimum both the temporal and sequence levels. Specialized tools are therefore essential to preprocess, integrate, and analyze HDX-MS data and translate it into meaningful biological insights. HaDeX2 provides statistical inferences and their visualizations across five dimensions of HDX-MS data: protein sequence, time, biological states, peptide charge and experimental replicates. AVAILABILITY AND IMPLEMENTATION: HaDeX2 is freely available as an R package (https://github.com/hadexversum/HaDeX2; https://doi.org/10.5281/zenodo.18543703) and web server (https://hadex2.mslab-ibb.pl/). To run the GUI locally, users should install a dedicated companion package (https://github.com/hadexversum/HaDeXGUI). Weronika Puchala, Krystyna Grzesiak, Dominik Rafacz, Michal Kistowski, Jochem H. Smit, Julien Marcoux, Michal Dadlez, Michal Burdukiewicz |
Bioinform. | 6 |
| 2019 | HDX-Viewer: interactive 3D visualization of hydrogen-deuterium exchange dataabstractSUMMARY: With the advent of fully automated sample preparation robots for Hydrogen-Deuterium eXchange coupled to Mass Spectrometry (HDX-MS), this method has become paramount for ligand binding or epitope mapping screening, both in academic research and biopharmaceutical industries. However, bridging the gap between commercial HDX-MS software (for raw data interpretation) and molecular viewers (to map experiment results onto a 3D structure for biological interpretation) remains laborious and requires simple but sometimes limiting coding skills. We solved this bottleneck by developing HDX-Viewer, an open-source web-based application that facilitates and quickens HDX-MS data analysis. This user-friendly application automatically incorporates HDX-MS data from a custom template or commercial HDX-MS software in PDB files, and uploads them to an online 3D molecular viewer, thereby facilitating their visualization and biological interpretation. AVAILABILITY AND IMPLEMENTATION: The HDX-Viewer web application is released under the CeCILL (http://www.cecill.info) and GNU LGPL licenses and can be found at https://masstools.ipbs.fr/hdx-viewer. The source code is available at https://github.com/david-bouyssie/hdx-viewer. David Bouyssié, Jean Lesne, Marie Locard-Paulet, Renaud Albigot, Odile Burlet-Schiltz, Julien Marcoux |
Bioinform. | 6 |
| 2019 | VisioProt-MS: interactive 2D maps from intact protein mass spectrometryabstractSUMMARY: VisioProt-MS is designed to summarize and analyze intact protein and top-down proteomics data. It plots the molecular weights of eluting proteins as a function of their retention time, thereby allowing inspection of runs from liquid chromatography coupled to mass spectrometry (LC-MS). It also overlays MS/MS identification results. VisioProt-MS is compatible with outputs from many different top-down dedicated software. To our knowledge, this is the only open source standalone application that allows the dynamic comparison of several MS files, a prerequisite for comparative analysis of different biological conditions. With its dynamic rendering, this user-friendly web application facilitates inspection, comparison and export of publication quality 2 D maps from deconvoluted LC-MS run(s) and top-down proteomics data. AVAILABILITY AND IMPLEMENTATION: The Shiny-based web application VisioProt-MS is suitable for non-R users. It can be found at https://masstools.ipbs.fr/mstools/visioprot-ms/ and the corresponding scripts are downloadable at https://github.com/mlocardpaulet/VisioProt-MS. It is governed by the CeCILL license (http://www.cecill.info). Marie Locard-Paulet, Julien Parra, Renaud Albigot, Emmanuelle Mouton-Barbosa, Laurent Bardi, Odile Burlet-Schiltz, Julien Marcoux |
Bioinform. | 7 |