Demo Data from VLDB 2026 / reviewers in the wild / expert
Jonas Förster
dblp:301/4965
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0003-3437-6738ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 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
biochemical simulation |
0.5 | 1 | 2021 | CoRC: the COPASI R Connector · Bioinform. 2021 |
Bioinformatics and computational biology
systems biology |
0.5 | 1 | 2021 | CoRC: the COPASI R Connector · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
r scripting · 0.5COPASI integration · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | CoRC: the COPASI R ConnectorabstractMOTIVATION: COPASI is a biochemical simulator and model analyzer which has found widespread use in academic research, teaching and beyond. One of COPASI's strengths is its graphical user interface, and this is what most users work with. COPASI also provides a command-line tool. So far, an intuitive scripting interface that allows the creation and documentation of systems biology workflows was missing though. RESULTS: We have developed CoRC, the COPASI R Connector, an R package which provides a high-level scripting interface for COPASI. It closely mirrors the thought process of a (graphical interface) user and should therefore be very easy to use. This allows for complex workflows to be reproducibly scripted, utilizing COPASI's powerful analytic toolset in combination with R's extensive analysis and package ecosystem. AVAILABILITY AND IMPLEMENTATION: CoRC is a free and open-source R package, available via GitHub at https://jpahle.github.io/CoRC/ under the Artistic-2.0 license. SUPPLEMENTARY INFORMATION: We provide tutorial articles as well as several example scripts on the project's website. Jonas Förster, Frank T. Bergmann, Jürgen Pahle |
Bioinform. | 1 |