Symbolic flux analysis for genome-scale metabolic networks.

ABSTRACT:

Background

With the advent of genomic technology, the size of metabolic networks that are subject to analysis is growing. A common task when analyzing metabolic networks is to find all possible steady state regimes. There are several technical issues that have to be addressed when analyzing large metabolic networks including accumulation of numerical errors and presentation of the solution to the researcher. One way to resolve those technical issues is to analyze the network using symbolic methods. The aim of this paper is to develop a routine that symbolically finds the steady state solutions of large metabolic networks.

Results

A symbolic Gauss-Jordan elimination routine was developed for analyzing large metabolic networks. This routine was tested by finding the steady sta

SUBMITTER: Schryer DW 

PROVIDER: S-EPMC3130677 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature