Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Porträttbild. Foto.

Carl Troein

Forskare

Porträttbild. Foto.

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

Författare

  • Richard Adams
  • Allan Clark
  • Azusa Yamaguchi
  • Neil Hanlon
  • Nikos Tsorman
  • Shakir Ali
  • Galina Lebedeva
  • Alexey Goltsov
  • Anatoly Sorokin
  • Ozgur E. Akman
  • Carl Troein
  • Andrew J. Millar
  • Igor Goryanin
  • Stephen Gilmore

Summary, in English

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.

Publiceringsår

2013

Språk

Engelska

Sidor

664-665

Publikation/Tidskrift/Serie

Bioinformatics

Volym

29

Issue

5

Dokumenttyp

Artikel i tidskrift

Förlag

Oxford University Press

Ämne

  • Bioinformatics and Systems Biology

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1367-4803