Modular Biological Function Is Most Effectively Captured by Combining Molecular Interaction Data Types

PLoS ONE

Volumn 8, Issue 5, 2013, Pages

  Ames, Ryan M ^a   MacPherson, Jamie I ^a   Pinney, John W ^b   Lovell, Simon C ^a   Robertson, David L ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; GENE CONTROL; GENE INTERACTION; MOLECULAR INTERACTION; NONHUMAN; PROTEIN PROTEIN INTERACTION; YEAST; BIOLOGY; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETICS; METABOLISM; MOLECULAR GENETICS; PROCEDURES; PROTEIN ANALYSIS; SACCHAROMYCES CEREVISIAE; STATISTICS AND NUMERICAL DATA;

SACCHAROMYCES CEREVISIAE PROTEIN;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENE EXPRESSION REGULATION, FUNGAL; GENE REGULATORY NETWORKS; MOLECULAR SEQUENCE ANNOTATION; PROTEIN INTERACTION MAPPING; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS;

EID: 84877059160     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0062670     Document Type: Article

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