Large-scale computation of elementary flux modes with bit pattern trees

Motivation: Elementary flux modes (EFMs)—non-decomposable minimal pathways—are commonly accepted tools for metabolic network analysis under steady state conditions. Valid states of the network are linear superpositions of elementary modes shaping a polyhedral cone (the flux cone), which is a well-st...

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Veröffentlicht in:	Bioinformatics Jg. 24; H. 19; S. 2229 - 2235
Hauptverfasser:	Terzer, Marco, Stelling, Jörg
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press 01.10.2008 Oxford Publishing Limited (England)
Schlagworte:	Algorithms Amino acids Bioinformatics Biological and medical sciences Cell Physiological Phenomena Combinatorial analysis Computational geometry Computer applications Computer architecture Computer Simulation E coli Enumeration Escherichia coli - genetics Escherichia coli - metabolism Fluctuations Fundamental and applied biological sciences. Psychology General aspects Genomes Geometry Mathematics Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Metabolic networks Metabolism Metabolites Methods Network analysis Optimization techniques Parallel processing Proteome - analysis Proteome - metabolism Residue number systems Systems Biology - methods Flux Tree Large scale Bioinformatics
ISSN:	1367-4803, 1367-4811, 1460-2059, 1367-4811
Online-Zugang:	Volltext
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