SBSI:an extensible distributed software infrastructure for parameter estimation in systems biology

Adams, Richard, Clark, Allan ORCID: https://orcid.org/0000-0003-2965-8941, Yamaguchi, Azusa, Hanlon, Neil, Tsorman, Nikos, Ali, Shakir, Lebedeva, Galina, Goltsov, Alexey, Sorokin, Anatoly, Akman, Ozgur E, Troein, Carl, Millar, Andrew J, Goryanin, Igor and Gilmore, Stephen (2013) SBSI:an extensible distributed software infrastructure for parameter estimation in systems biology. Bioinformatics, 29 (5). pp. 664-5. ISSN 1460-2059

Full text not available from this repository. (Request a copy)

Abstract

Complex computational experiments in Systems Biology, such as fitting model parameters to experimental data, can be challenging to perform. Not only do they frequently require a high level of computational power, but the software needed to run the experiment needs to be usable by scientists with varying levels of computational expertise, and modellers need to be able to obtain up-to-date experimental data resources easily. We have developed a software suite, the Systems Biology Software Infrastructure (SBSI), to facilitate the parameter-fitting process. SBSI is a modular software suite composed of three major components: SBSINumerics, a high-performance library containing parallelized algorithms for performing parameter fitting; SBSIDispatcher, a middleware application to track experiments and submit jobs to back-end servers; and SBSIVisual, an extensible client application used to configure optimization experiments and view results. Furthermore, we have created a plugin infrastructure to enable project-specific modules to be easily installed. Plugin developers can take advantage of the existing user-interface and application framework to customize SBSI for their own uses, facilitated by SBSI's use of standard data formats.

Item Type:	Article
Uncontrolled Keywords:	algorithms,software,systems biology
Faculty \ School:	Faculty of Science > School of Pharmacy Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Centres > Population Health
Depositing User:	Pure Connector
Date Deposited:	06 Jan 2014 14:40
Last Modified:	19 Oct 2023 01:12
URI:	https://ueaeprints.uea.ac.uk/id/eprint/46097
DOI:	10.1093/bioinformatics/btt023

Actions (login required)

View Item