English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A systems biology markup language (SBML) based sensitivity analysis tool

Zi, Z., Zheng, Y., Rundell, A. E., & Klipp, E. (2008). A systems biology markup language (SBML) based sensitivity analysis tool. BMC Bioinformatics, 15(9), 342-342. doi:10.1186/1471-2105-9-342.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7F54-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-9E64-0
Genre: Journal Article

Files

show Files
hide Files
:
1471-2105-9-517.pdf (Any fulltext), 1020KB
Name:
1471-2105-9-517.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
eDoc_access: PUBLIC
License:
-

Locators

show

Creators

show
hide
 Creators:
Zi, Zhike1, Author              
Zheng, Yanan, Author
Rundell, Ann E., Author
Klipp, Edda2, Author              
Affiliations:
1Cell Signaling Dynamics (Zhike Zi), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_2117284              
2Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433554              

Content

show
hide
Free keywords: -
 Abstract: Background It has long been recognized that sensitivity analysis plays a key role in modeling and analyzing cellular and biochemical processes. Systems biology markup language (SBML) has become a well-known platform for coding and sharing mathematical models of such processes. However, current SBML compatible software tools are limited in their ability to perform global sensitivity analyses of these models. Results This work introduces a freely downloadable, software package, SBML-SAT, which implements algorithms for simulation, steady state analysis, robustness analysis and local and global sensitivity analysis for SBML models. This software tool extends current capabilities through its execution of global sensitivity analyses using multi-parametric sensitivity analysis, partial rank correlation coefficient, SOBOL's method, and weighted average of local sensitivity analyses in addition to its ability to handle systems with discontinuous events and intuitive graphical user interface.

Details

show
hide
Language(s): eng - English
 Dates: 2008-08-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: BMC Bioinformatics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 15 (9) Sequence Number: - Start / End Page: 342 - 342 Identifier: -