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Carl D. Christensen

dblp:176/7041 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology › metabolic network analysis
metabolic control analysis
0.312018
PySCeSToolbox: a collection of metabolic pathway analysis tools · Bioinform. 2018
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
metabolic pathway analysis
0.312018
PySCeSToolbox: a collection of metabolic pathway analysis tools · Bioinform. 2018
Bioinformatics and computational biology
systems biology
0.112018
PySCeSToolbox: a collection of metabolic pathway analysis tools · Bioinform. 2018

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

symbolic control analysis · 0.3supply-demand analysis · 0.3
YearPublicationVenuePosition
2018 PySCeSToolbox: a collection of metabolic pathway analysis tools
abstract
Summary: PySCeSToolbox is an extension to the Python Simulator for Cellular Systems (PySCeS) that includes tools for performing generalized supply-demand analysis, symbolic metabolic control analysis, and a framework for investigating the kinetic and thermodynamic aspects of enzyme-catalyzed reactions. Each tool addresses a different aspect of metabolic behaviour, control, and regulation; the tools complement each other and can be used in conjunction to better understand higher level system behaviour. Availability and implementation: PySCeSToolbox is available on Linux, Mac OS X and Windows. It is licensed under the BSD 3-clause licence. Code, setup instructions and a link to documentation can be found at https://github.com/PySCeS/PyscesToolbox. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Carl D. Christensen, Jan-Hendrik S. Hofmeyr, Johann M. Rohwer
Bioinform.1