Visual workflows for C-metabolic flux analysis
Bioinformatics, ISSN: 1460-2059, Vol: 31, Issue: 3, Page: 346-354
2015
- 25Citations
- 108Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations25
- Citation Indexes25
- CrossRef25
- 25
- Captures108
- Readers108
- 108
Article Description
Motivation: The precise quantification of intracellular metabolic flow rates is of fundamental importance in bio(techno)logy and medical research. The gold standard in the field is metabolic flux analysis (MFA) with C-labeling experiments. C-MFA workflows orchestrate several, mainly human-in-the-loop, software applications, integrating them with plenty of heterogeneous information. In practice, this had posed a major practical barrier for evaluating, interpreting and understanding isotopic data from carbon labeling experiments. Results: Graphical modeling, interactive model exploration and visual data analysis are the key to overcome this limitation. We have developed a first-of-its-kind graphical tool suite providing scientists with an integrated software framework for all aspects of C-MFA. Almost 30 modules (plug-ins) have been implemented for the Omix visualization software. Several advanced graphical workflows and ergonomic user interfaces support major domain-specific modeling and proofreading tasks. With that, the graphical suite is a productivity enhancing tool and an original educational training instrument supporting the adoption of C-MFA applications in all life science fields.
Bibliographic Details
Oxford University Press (OUP)
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