EDBT 2026 Demo / reviewers in the wild / expert
Antoine D. Rolland
dblp:180/8126
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-9758-4406ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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
2 papers |
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
biological database |
0.7 | 2 | 2019 | The ReproGenomics Viewer: a multi-omics and cross-species resource compatible with single-cell studies for the reproductive science community · Bioinform. 2019 TOXsIgN: a cross-species repository for toxicogenomic signatures · Bioinform. 2018 |
Bioinformatics and computational biology
multi-omics data integration |
0.4 | 1 | 2019 | The ReproGenomics Viewer: a multi-omics and cross-species resource compatible with single-cell studies for the reproductive science community · Bioinform. 2019 |
Bioinformatics and computational biology
transcriptomics |
0.4 | 1 | 2019 | The ReproGenomics Viewer: a multi-omics and cross-species resource compatible with single-cell studies for the reproductive science community · Bioinform. 2019 |
Bioinformatics and computational biology › genomics
toxicogenomics |
0.3 | 1 | 2018 | TOXsIgN: a cross-species repository for toxicogenomic signatures · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
manual curation · 0.4enrichment analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | The ReproGenomics Viewer: a multi-omics and cross-species resource compatible with single-cell studies for the reproductive science communityabstractMOTIVATION: Recent advances in transcriptomics have enabled unprecedented insight into gene expression analysis at a single-cell resolution. While it is anticipated that the number of publications based on such technologies will increase in the next decade, there is currently no public resource to centralize and enable scientists to explore single-cell datasets published in the field of reproductive biology. RESULTS: Here, we present a major update of the ReproGenomics Viewer, a cross-species and cross-technology web-based resource of manually-curated sequencing datasets related to reproduction. The redesign of the ReproGenomics Viewer's architecture is accompanied by significant growth of the database content including several landmark single-cell RNA-sequencing datasets. The implementation of additional tools enables users to visualize and browse the complex, high-dimensional data now being generated in the reproductive field. AVAILABILITY AND IMPLEMENTATION: The ReproGenomics Viewer resource is freely accessible at http://rgv.genouest.org. The website is implemented in Python, JavaScript and MongoDB, and is compatible with all major browsers. Source codes can be downloaded from https://github.com/fchalmel/RGV. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Thomas A. Darde, Estelle Lecluze, Aurélie Lardenois, Isabelle Stévant, Nathan Alary, Frank Tüttelmann, Olivier Collin, Serge Nef, Bernard Jégou, Antoine D. Rolland, Frédéric Chalmel |
Bioinform. | 10 |
| 2018 | TOXsIgN: a cross-species repository for toxicogenomic signaturesabstractMotivation: At the same time that toxicologists express increasing concern about reproducibility in this field, the development of dedicated databases has already smoothed the path toward improving the storage and exchange of raw toxicogenomic data. Nevertheless, none provides access to analyzed and interpreted data as originally reported in scientific publications. Given the increasing demand for access to this information, we developed TOXsIgN, a repository for TOXicogenomic sIgNatures. Results: The TOXsIgN repository provides a flexible environment that facilitates online submission, storage and retrieval of toxicogenomic signatures by the scientific community. It currently hosts 754 projects that describe more than 450 distinct chemicals and their 8491 associated signatures. It also provides users with a working environment containing a powerful search engine as well as bioinformatics/biostatistics modules that enable signature comparisons or enrichment analyses. Availability and implementation: The TOXsIgN repository is freely accessible at http://toxsign.genouest.org. Website implemented in Python, JavaScript and MongoDB, with all major browsers supported. Supplementary information: Supplementary data are available at Bioinformatics online. Thomas A. Darde, Pierre Gaudriault, Rémi Beranger, Clément Lancien, Annaëlle Caillarec-Joly, Olivier Sallou, Nathalie Bonvallot, Cécile Chevrier, Séverine Mazaud-Guittot, Bernard Jégou, Olivier Collin, Emmanuelle Becker, Antoine D. Rolland, Frédéric Chalmel |
Bioinform. | 13 |