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Jonas Förster

dblp:301/4965 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology
biochemical simulation
0.512021
CoRC: the COPASI R Connector · Bioinform. 2021
Bioinformatics and computational biology
systems biology
0.512021
CoRC: the COPASI R Connector · Bioinform. 2021

Methods — techniques the papers use, named apart from their topics

r scripting · 0.5COPASI integration · 0.5
YearPublicationVenuePosition
2021 CoRC: the COPASI R Connector
abstract
MOTIVATION: 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