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The Eukaryotic Promoter Database, EPD: new entry types and links to gene expression data
Viviane Praz1, Rouaïda Périer, Claude Bonnard
1Swiss Institute of Bioinformatics and Swiss Institute for Experimental Cancer Research, Ch. des Boveresses 155, 1066-Epalinges s/Lausanne, Switzerland.
Nucleic Acids Research
|December 26, 2001
Summary
The Eukaryotic Promoter Database (EPD) provides curated eukaryotic Pol II promoter sequences with experimentally verified start sites. This resource facilitates comparative analysis and access to related biological data.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Eukaryotic promoters are crucial regulatory DNA regions.
- Accurate identification of transcription start sites (TSS) is essential for understanding gene regulation.
- A centralized, annotated database is needed for efficient promoter research.
Purpose of the Study:
- To present the Eukaryotic Promoter Database (EPD) as a comprehensive resource.
- To provide access to annotated eukaryotic Pol II promoter sequences.
- To facilitate comparative sequence analysis and data integration.
Main Methods:
- Curating experimentally determined Pol II promoter sequences.
- Annotating promoter entries with TSS mapping data and cross-references.
- Developing World Wide Web interfaces for data access and analysis.
- Generating updated base frequency matrices for promoter elements.
Main Results:
- EPD offers an annotated, non-redundant collection of eukaryotic Pol II promoters.
- Promoter sequences are linked to nucleotide sequence entries.
- Detailed annotations include TSS data, cross-references to major biological databases (EMBL, SWISS-PROT, TRANSFAC), and literature.
- The database structure supports dynamic extraction of promoter subsets for analysis.
- Web interfaces allow flexible data viewing, selection, extraction, and navigation.
Conclusions:
- EPD is a valuable, dynamic resource for eukaryotic promoter research.
- The database enhances comparative genomics and gene regulation studies.
- Integrated access and analysis tools streamline biological data exploration.