Application of Petri net based analysis techniques to signal transduction pathways

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Sackmann, Andrea ^a,b   Heiner, Monika ^c   Koch, Ina ^a,d  

^a TECHNICAL UNIVERSITY OF APPLIED SCIENCES WILDAU   (Germany)

^b POZNAN UNIVERSITY OF TECHNOLOGY   (Poland)

^c BRANDENBURG UNIVERSITY OF TECHNOLOGY   (Germany)

^d FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS TECHNIQUES; AUTOMATIC DECOMPOSITION; BIOLOGICAL NETWORKS; HIGH-THROUGHPUT TECHNIQUE; QUALITATIVE ANALYSIS; QUALITATIVE MODELLING; QUANTITATIVE METHOD; SIGNAL TRANSDUCTION PATHWAYS;

BIOLOGICAL SYSTEMS; COMPLEX NETWORKS; KINETIC PARAMETERS; ORDINARY DIFFERENTIAL EQUATIONS; PETRI NETS; YEAST;

SIGNAL TRANSDUCTION;

PHEROMONE;

ANALYTIC METHOD; ARTICLE; KINETICS; MATING; NONHUMAN; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION; STATISTICAL ANALYSIS; VALIDATION STUDY; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; METABOLISM; PROCEDURES;

SACCHAROMYCES CEREVISIAE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; KINETICS; MODELS, BIOLOGICAL; PHEROMONES; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION;

EID: 33845417184     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-482     Document Type: Article

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