Protein complex-based analysis framework for high-throughput data sets

Science Signaling

Volumn 6, Issue 264, 2013, Pages

  Vinayagam, Arunachalam ^a   Hu, Yanhui ^a   Kulkarni, Meghana ^a,d   Roesel, Charles ^a,b   Sopko, Richelle ^a   Mohr, Stephanie E ^a   Perrimon, Norbert ^a,c  

^a HARVARD MEDICAL SCHOOL   (United States)

^b NORTHEASTERN UNIVERSITY   (United States)

^c HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^d DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR; INSULIN; MITOGEN ACTIVATED PROTEIN KINASE;

ARTICLE; CELL STIMULATION; DATA BASE; DROSOPHILA MELANOGASTER; GENE EXPRESSION; HIGH THROUGHPUT SCREENING; INSULIN RESPONSE; MASS SPECTROMETRY; NONHUMAN; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; PROTEOMICS; RNA INTERFERENCE; SACCHAROMYCES CEREVISIAE;

ANIMALS; CELL CYCLE PROTEINS; DATA MINING; DATABASES, GENETIC; DROSOPHILA MELANOGASTER; DROSOPHILA PROTEINS; GENE EXPRESSION PROFILING; HIGH MOBILITY GROUP PROTEINS; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; INSULIN; INTERNET; MOLECULAR SEQUENCE ANNOTATION; MULTIPROTEIN COMPLEXES; PROTEIN INTERACTION MAPS; PROTEOMICS; RNA INTERFERENCE; SACCHAROMYCES CEREVISIAE; SOFTWARE; SPECIES SPECIFICITY; SYSTEMS BIOLOGY; TRANS-ACTIVATORS;

EID: 84875142412     PISSN: 19450877     EISSN: 19379145     Source Type: Journal    
DOI: 10.1126/scisignal.2003629     Document Type: Article

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