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ChIPCodis: mining complex regulatory systems in yeast by concurrent enrichment analysis of chip-on-chip data
Federico Abascal1, Pedro Carmona-Saez, Jose-Maria Carazo
1BioComputing Unit, National Center of Biotechnology (CSIC), Madrid, Spain.
Bioinformatics (Oxford, England)
|March 15, 2008
Summary
ChIPCodis identifies combinations of transcription factors (TFs) regulating yeast genes. This tool analyzes chip-on-chip data to reveal how TF interactions tune gene expression across various environmental conditions.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Eukaryotic gene expression is controlled by multiple transcription factors (TFs).
- TF interactions allow genes to respond to diverse environmental conditions.
- Chip-on-chip experiments map TF-gene binding in vivo.
Purpose of the Study:
- To develop a tool, ChIPCodis, for mining TF binding data.
- To identify significant TF combinations regulating specific gene sets.
- To understand gene regulation in yeast under various conditions.
Main Methods:
- Utilizing chip-on-chip experimental data.
- Applying statistical methods to identify over-represented TF combinations.
- Analyzing TF binding patterns across multiple environmental settings.
Main Results:
- ChIPCodis identifies significant combinations of TFs associated with gene regulation.
- The tool reveals how TF combinations change in response to environmental conditions.
- Provides insights into the combinatorial regulatory code of yeast genes.
Conclusions:
- ChIPCodis is a valuable tool for dissecting complex gene regulatory networks.
- Understanding TF combinations enhances knowledge of eukaryotic gene expression.
- Facilitates the study of environmental responses in yeast.
