Demo Data from EDBT 2026 / reviewers in the wild / expert
Caroline Mauvezin
dblp:424/4546
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-4220-7272ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › bioimage informatics
bioimage analysis |
0.8 | 1 | 2024 | QATS: an ImageJ plugin for the quantification of toroidal nuclei in biological images · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
imagej plugin · 0.8image segmentation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | QATS: an ImageJ plugin for the quantification of toroidal nuclei in biological imagesabstractMOTIVATION: The toroidal nucleus is a novel chromosomal instability (CIN) biomarker which complements the micronucleus. Understanding the specific biological stresses leading to the formation of each CIN-associated phenotype requires the evaluation of large panels of biological images collected from different genetic backgrounds and environmental conditions. However, the quantification of toroidal nuclei is currently a manual process which is unviable on a large scale. RESULTS: Here, we present QATS (QuAntification of Toroidal nuclei in biological imageS), a tool that automates the identification of toroidal nuclei, minimizing false positives while highly agreeing with the manual quantifications. Additionally, QATS identifies micronuclei for a convenient comparison of both CIN biomarkers. QATS is an open-source ImageJ plugin with a user-friendly interface that enables a wide scientific community to easily assess the frequency of CIN biomarkers for the determination of CIN levels in cellular models. AVAILABILITY AND IMPLEMENTATION: QATS is an ImageJ plugin freely available at http://www.toroidalnucleus.org/qats. The user manual and the images used for the evaluation of QATS are included in the website. Supplementary data are available at Bioinformatics online. Carles Pons, Caroline Mauvezin |
Bioinform. | 2 |