DocumentCode :
2917366
Title :
Identifying synergistic transcriptional factors involved in the yeast cell cycle using Microarray and ChIP-chip data
Author :
He, Dong ; Zhou, Dao ; Zhou, Yanhong
Author_Institution :
Hubei Bioinformatics & Molecular Imaging Key Lab., Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2006
fDate :
Oct. 2006
Firstpage :
357
Lastpage :
360
Abstract :
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
Keywords :
biology computing; cellular biophysics; molecular biophysics; ChIP-chip data; FKH2-MCM1-NDD1; eukaryotic organisms; microarray; multiple transcription factors; synergistic transcriptional factors; transcription regulation; yeast cell cycle; Analysis of variance; Bioinformatics; Data analysis; Educational programs; Fungi; Gene expression; Genomics; Organisms; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grid and Cooperative Computing Workshops, 2006. GCCW '06. Fifth International Conference on
Conference_Location :
Hunan
Print_ISBN :
0-7695-2695-0
Type :
conf
DOI :
10.1109/GCCW.2006.54
Filename :
4031574
Link To Document :
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