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HOLLYWOOD: a comparative relational database of alternative splicing
Dirk Holste1, George Huo, Vivian Tung
1Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02319, USA. holste@mit.edu
Nucleic Acids Research
|December 31, 2005
Summary
Researchers developed the Hollywood system, a novel database for alternative splicing (AS). This system integrates genomic data to analyze splicing patterns and regulatory elements in genes, aiding AS research.
Area of Science:
- Molecular Biology
- Bioinformatics
Background:
- Alternative splicing (AS) generates diverse mRNA and protein isoforms from a single gene, complicating gene expression studies.
- Developing effective databases for AS research is a significant challenge.
- Integrating genomic annotation, splicing regulatory elements, and cross-species ortholog information is crucial for comprehensive AS analysis.
Purpose of the Study:
- To develop the Hollywood system, a relational database designed to support AS research.
- To integrate accurate exon and splice site annotation with splicing regulatory elements and predicted AS events.
- To link splicing information for orthologous genes across different species.
Main Methods:
- Genomic annotation of splicing patterns derived from cDNA and expressed sequence tag alignments.
- Integration of splice site characteristics, regulatory elements (enhancers, silencers), and conserved/non-conserved splicing patterns.
- Implementation as a relational database with a web query tool and graphical visualization, compatible with the UCSC Genome Browser.
Main Results:
- The Hollywood system provides comprehensive AS information for human and mouse.
- It enables searches for exons with specific splicing characteristics or regulatory element composition.
- Graphical representations of gene splicing patterns are available and can be overlaid on the UCSC Genome Browser.
Conclusions:
- The Hollywood system offers a valuable resource for investigating alternative splicing.
- It facilitates the analysis of splicing patterns, regulatory elements, and cross-species comparisons.
- The database and its query tool enhance experimental and computational AS research.