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