Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-3743
Wright, J; Wagner, A (2008). The Systems Biology Research Tool: evolvable open-source software. BMC Systems Biology, 2:55:1-8.
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Abstract
BACKGROUND: Research in the field of systems biology requires software for a variety of purposes. Software must be used to store, retrieve, analyze, and sometimes even to collect the data obtained from system-level (often high-throughput) experiments. Software must also be used to implement mathematical models and algorithms required for simulation and theoretical predictions on the system-level. RESULTS: We introduce a free, easy-to-use, open-source, integrated software platform called the Systems Biology Research Tool (SBRT) to facilitate the computational aspects of systems biology. The SBRT currently performs 35 methods for analyzing stoichiometric networks and 16 methods from fields such as graph theory, geometry, algebra, and combinatorics. New computational techniques can be added to the SBRT via process plug-ins, providing a high degree of evolvability and a unifying framework for software development in systems biology. CONCLUSION: The Systems Biology Research Tool represents a technological advance for systems biology. This software can be used to make sophisticated computational techniques accessible to everyone (including those with no programming ability), to facilitate cooperation among researchers, and to expedite progress in the field of systems biology.
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 04 Faculty of Medicine > Institute of Biochemistry 07 Faculty of Science > Institute of Biochemistry Special Collections > SystemsX.ch Special Collections > SystemsX.ch > Research, Technology and Development Projects > YeastX |
| DDC: | 570 Life sciences; biology |
| Language: | English |
| Date: | June 2008 |
| Deposited On: | 23 Sep 2008 09:31 |
| Last Modified: | 28 Nov 2012 10:20 |
| Publisher: | BioMed Central |
| ISSN: | 1752-0509 |
| Additional Information: | Free full text article |
| Publisher DOI: | 10.1186/1752-0509-2-55 |
| PubMed ID: | 18588708 |
| WoS Citation Count: | 17 |
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