Demo Data from VLDB 2026 / reviewers in the wild / expert
Matthieu Guionnet
dblp:254/3456
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-5326-0357ORCID · reported
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › metabolomics
computational metabolomics |
0.4 | 1 | 2019 | IsoCor: isotope correction for high-resolution MS labeling experiments · Bioinform. 2019 |
Bioinformatics and computational biology › metabolomics
isotope correction |
0.4 | 1 | 2019 | IsoCor: isotope correction for high-resolution MS labeling experiments · Bioinform. 2019 |
Bioinformatics and computational biology
isotope labeling |
0.4 | 1 | 2019 | IsoCor: isotope correction for high-resolution MS labeling experiments · Bioinform. 2019 |
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis |
0.4 | 1 | 2019 | IsoCor: isotope correction for high-resolution MS labeling experiments · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
isotope correction algorithm · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | IsoCor: isotope correction for high-resolution MS labeling experimentsabstractSUMMARY: Mass spectrometry (MS) is widely used for isotopic studies of metabolism and other (bio)chemical processes. Quantitative applications in systems and synthetic biology require to correct the raw MS data for the contribution of naturally occurring isotopes. Several tools are available to correct low-resolution MS data, and recent developments made substantial improvements by introducing resolution-dependent correction methods, hence opening the way to the correction of high-resolution MS (HRMS) data. Nevertheless, current HRMS correction methods partly fail to determine which isotopic species are resolved from the tracer isotopologues and should thus be corrected. We present an updated version of our isotope correction software (IsoCor) with a novel correction algorithm which ensures to accurately exploit any chemical species with any isotopic tracer, at any MS resolution. IsoCor v2 also includes a novel graphical user interface for intuitive use by end-users and a command-line interface to streamline integration into existing pipelines. AVAILABILITY AND IMPLEMENTATION: IsoCor v2 is implemented in Python 3 and was tested on Windows, Unix and MacOS platforms. The source code and the documentation are freely distributed under GPL3 license at https://github.com/MetaSys-LISBP/IsoCor/ and https://isocor.readthedocs.io/. Pierre Millard, Baudoin Delépine, Matthieu Guionnet, Maud Heuillet, Floriant Bellvert, Fabien Létisse |
Bioinform. | 3 |