Fifth International Conference on Grid and Cooperative Computing Workshops
Identifying synergistic transcriptional factors involved in the yeast cell cycle using Microarray and ChIP-chip data
Hunan, China
October 21-October 23
ISBN: 0-7695-2695-0
Dong He, Huazhong University of Science and Technology, China
Dao Zhou, Huazhong University of Science and Technology, China
Yanhong Zhou, Huazhong University of Science and Technology, China
Knowing the synergistic activities of multiple transcription factors (TFs) is important for revealing the underlying mechanisms of transcription regulation in eukaryotic organisms. Based on the Microarray data and ChIP-chip data, we identified the synergistic TF pairs and triplets involved in the yeast cell cycle. The results indicate that: (1) about one third of the predicted synergistic TF pairs, including five novel pairs undiscovered by previous computational methods, are supported by literature evidences; (2) the cell cycle transcription regulation synergistic TF triplet, FKH2-MCM1-NDD1, has been successfully predicted.
Citation:
Dong He, Dao Zhou, Yanhong Zhou, "Identifying synergistic transcriptional factors involved in the yeast cell cycle using Microarray and ChIP-chip data," gccw, pp.357-360, Fifth International Conference on Grid and Cooperative Computing Workshops, 2006
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