Demo Data from EDBT 2026 / reviewers in the wild / expert
Antoine Andréoletti
dblp:426/0889
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
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 · 77% Computational science and engineering · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology › computational systems biology
systems biology modeling |
0.9 | 1 | 2025 | SBMLtoOdin and Menelmacar: interactive visualisation of systems biology models for expert and non-expert audiences · Bioinform. 2025 |
Computational science and engineering
differential equations |
0.3 | 1 | 2025 | SBMLtoOdin and Menelmacar: interactive visualisation of systems biology models for expert and non-expert audiences · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
browser-based simulation · 0.9SBML translation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | SBMLtoOdin and Menelmacar: interactive visualisation of systems biology models for expert and non-expert audiencesabstractSUMMARY: Computational models in biology can increase our understanding of biological systems, be used to answer research questions, and make predictions. Accessibility and reusability of computational models is limited and often restricted to experts in programming and mathematics. This is due to the need to implement entire models and solvers from the mathematical notation models are normally presented as. Here, we present SBMLtoOdin, an R package that translates differential equation models in SBML format from the BioModels database into executable R code using the R package odin, allowing researchers to easily reuse models. We also present Menelmacar, a web-based application that provides interactive visualisations of these models by solving their differential equations in the browser. This platform allows non-experts to simulate and investigate models using an easy-to-use interface. AVAILABILITY AND IMPLEMENTATION: SBMLtoOdin is published under the open source Apache 2.0 licence at https://github.com/bacpop/SBMLtoOdin and can be installed as an R package. The code for the Menelmacar website is published under the MIT License at https://github.com/bacpop/odinviewer, and the website can be found at https://biomodels.bacpop.org/. Leonie J. Lorenz, Antoine Andréoletti, Tung V. N. Nguyen, Henning Hermjakob, Richard G. FitzJohn, Rahuman S. Malik-Sheriff, John A. Lees |
Bioinform. | 2 |