Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae

Nucleic Acids Research

Volumn 32, Issue 21, 2004, Pages 6414-6424

  Chen, Yu ^a,b,c   Xu, Dong ^a,b  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b University of Missouri   (United States)

^c NOVARTIS PHARMA AG   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL CELL; ARABIDOPSIS; ARTICLE; BAYES THEOREM; BIOINFORMATICS; CAENORHABDITIS ELEGANS; CELLULAR DISTRIBUTION; CONTROLLED STUDY; DROSOPHILA MELANOGASTER; GENE EXPRESSION PROFILING; GENE SEQUENCE; GENETIC ANALYSIS; HIGH THROUGHPUT SCREENING; MOLECULAR BIOLOGY; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEIN FUNCTION; PROTEIN MICROARRAY; QUANTITATIVE ANALYSIS; SACCHAROMYCES CEREVISIAE; SIMULATION; STATISTICAL ANALYSIS; TWO HYBRID SYSTEM;

BAYES THEOREM; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENOME, FUNGAL; GENOMICS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; TWO-HYBRID SYSTEM TECHNIQUES;

EID: 13444283846     PISSN: 03051048     EISSN: None     Source Type: Journal    
DOI: 10.1093/nar/gkh978     Document Type: Article

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