Annotation of unknown yeast ORFs by correlation analysis of microarray data and extensive literature searches
Yeast, cilt.23, sa.7, ss.553-571, 2006 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 23 Sayı: 7
- Basım Tarihi: 2006
- Doi Numarası: 10.1002/yea.1375
- Dergi Adı: Yeast
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.553-571
- Anahtar Kelimeler: Correlation analysis, Functional annotation, GO mapping, Linear modelling, Saccharomyces cerevisiae, Transcriptome
- Boğaziçi Üniversitesi Adresli: Evet
Özet
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.