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Birgit Stute

dblp:123/3737 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0003-3118-7966ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1

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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metabolomics
13c-metabolic flux analysis
0.212013
13CFLUX2 - high-performance software suite for 13C-metabolic flux analysis · Bioinform. 2013
Bioinformatics and computational biology › metabolomics
metabolic flux analysis
0.212013
13CFLUX2 - high-performance software suite for 13C-metabolic flux analysis · Bioinform. 2013
High-performance computing
scientific computing systems
0.212013
13CFLUX2 - high-performance software suite for 13C-metabolic flux analysis · Bioinform. 2013

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

simulation algorithms · 0.3FluxML · 0.3
YearPublicationVenuePosition
2013 13CFLUX2 - high-performance software suite for 13C-metabolic flux analysis
abstract
SUMMARY: (13)C-based metabolic flux analysis ((13)C-MFA) is the state-of-the-art method to quantitatively determine in vivo metabolic reaction rates in microorganisms. 13CFLUX2 contains all tools for composing flexible computational (13)C-MFA workflows to design and evaluate carbon labeling experiments. A specially developed XML language, FluxML, highly efficient data structures and simulation algorithms achieve a maximum of performance and effectiveness. Support of multicore CPUs, as well as compute clusters, enables scalable investigations. 13CFLUX2 outperforms existing tools in terms of universality, flexibility and built-in features. Therewith, 13CFLUX2 paves the way for next-generation high-resolution (13)C-MFA applications on the large scale. AVAILABILITY AND IMPLEMENTATION: 13CFLUX2 is implemented in C++ (ISO/IEC 14882 standard) with Java and Python add-ons to run under Linux/Unix. A demo version and binaries are available at www.13cflux.net.
Michael Weitzel, Katharina Nöh, Tolga Dalman, Sebastian Niedenführ, Birgit Stute, Wolfgang Wiechert
Bioinform.5