Annotation of unknown yeast ORFs by correlation analysis of microarray data and extensive literature searches

Pinar Pir, Kutlu Ö Ülgen, Andrew Hayes, Ilsen Önsan, Betül Kirdar, Stephen G. Oliver

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Changes in the expression of genes were used to elucidate the metabolic pathways and regulatory mechanisms that respond to environmental or genetic modifications. Results from previously published chemostat datasets were merged with novel data generated in the present study. ORFs displaying significant changes in expression that correlated with those of other ORFs were analysed using GO mapping tools and supplemented by literature information. The strategy developed was used to propose annotations for ORFs of unknown function. The following ORFs were assigned functions as a result of this study: YMR090w, YGL157w, YGR243w, YLR327c, YER121w, YFR017c, YGR067c, YKL187c, YGR236c (SPG1), YMR107w (SPG4), YMR206w, YER067w, YJL103c, YNL175C (NOP13) YJL200C, YDL070C (FMP16) and YGR173W. Copyright © 2006 John Wiley & Sons, Ltd.
    Original languageEnglish
    Pages (from-to)553-571
    Number of pages18
    JournalYeast
    Volume23
    Issue number7
    DOIs
    Publication statusPublished - May 2006

    Keywords

    • Correlation analysis
    • Functional annotation
    • GO mapping
    • Linear modelling
    • Saccharomyces cerevisiae
    • Transcriptome

    Research Beacons, Institutes and Platforms

    • Manchester Institute of Biotechnology

    Fingerprint

    Dive into the research topics of 'Annotation of unknown yeast ORFs by correlation analysis of microarray data and extensive literature searches'. Together they form a unique fingerprint.

    Cite this