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Odile Burlet-Schiltz

dblp:236/1552 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-3606-2356ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3

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 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
proteomics
0.822020
Proline: an efficient and user-friendly software suite for large-scale proteomics · Bioinform. 2020
VisioProt-MS: interactive 2D maps from intact protein mass spectrometry · Bioinform. 2019
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis
0.412020
Proline: an efficient and user-friendly software suite for large-scale proteomics · Bioinform. 2020
Bioinformatics and computational biology
structural biology
0.412019
HDX-Viewer: interactive 3D visualization of hydrogen-deuterium exchange data · Bioinform. 2019
Bioinformatics and computational biology › proteomics › quantitative proteomics
label-free quantification
0.112020
Proline: an efficient and user-friendly software suite for large-scale proteomics · Bioinform. 2020
Bioinformatics and computational biology › metabolomics
liquid chromatography-mass spectrometry data analysis
0.112019
VisioProt-MS: interactive 2D maps from intact protein mass spectrometry · Bioinform. 2019
Visualization and visual analytics › scientific visualization
molecular visualization
0.112019
HDX-Viewer: interactive 3D visualization of hydrogen-deuterium exchange data · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

3d molecular visualization · 0.8DDA label-free quantification · 0.4deconvolution · 0.42d map rendering · 0.4
YearPublicationVenuePosition
2020 Proline: an efficient and user-friendly software suite for large-scale proteomics
abstract
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.
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.15
2019 HDX-Viewer: interactive 3D visualization of hydrogen-deuterium exchange data
abstract
SUMMARY: 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.5
2019 VisioProt-MS: interactive 2D maps from intact protein mass spectrometry
abstract
SUMMARY: 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.6