Model composition for macromolecular regulatory networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 7, Issue 2, 2010, Pages 278-287

  Randhawa, Ranjit ^a   Shaffer, Cliff ^b   Tyson, John ^c  

^a PFIZER INC   (United States)

^b Virginia Polytechnic Institute and State University   (United States)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Biology and genetics; Composition; Flattening; Fusion; Model Development; Modeling; SBML; Simulation Languages

Indexed keywords

BIOLOGY AND GENETICS; EUKARYOTIC CELL CYCLE; FORMAL APPROACH; FUSION MODEL; LANGUAGE EXTENSIONS; LARGER NETWORKS; MODEL COMPOSITION; REGULATORY NETWORK; SIMULATION LANGUAGE; SYSTEMS BIOLOGY MARKUP LANGUAGES;

BIOLOGY; CHROMOSOMES; COMPUTER SIMULATION LANGUAGES; LINGUISTICS; MARKUP LANGUAGES; QUERY LANGUAGES;

COMPUTER SIMULATION;

EUKARYOTA;

CYCLIN DEPENDENT KINASE;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CELL CYCLE; METABOLISM; METHODOLOGY; PHYSIOLOGY; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY; YEAST;

ALGORITHMS; CELL CYCLE; CYCLIN-DEPENDENT KINASES; MODELS, BIOLOGICAL; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY; YEASTS;

EID: 77952112333     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2008.64     Document Type: Article

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