Identification and modeling of genes with diurnal oscillations from microarray time series data

Wenxue Wang1, Bijoy K Ghosh, Himadri B Pakrasi

  • 1Institute for Collaborative Biotechnologies, University of California, Santa Barbara, 1223 Elings Hall, Santa Barbara, CA 93106-5100, USA. wenxue@engineering.ucsb.edu

Summary

This study analyzes Cyanothece transcriptome data to identify rhythmic gene expression patterns. Findings reveal specific metabolic genes cluster by phase, suggesting preferred times for cellular functions, and propose a model for circadian-controlled genes.

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