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H-DBAS: alternative splicing database of completely sequenced and manually annotated full-length cDNAs based on
Jun-ichi Takeda1, Yutaka Suzuki, Mitsuteru Nakao
1Integrated Database Group, Japan Biological Information Research Center, Japan Biological Informatics Consortium, AIST Bio-IT Research, Building Aomi 2-42, Koto-ku, Tokyo 135-0064, Japan.
The Human-transcriptome DataBase for Alternative Splicing (H-DBAS) offers a comprehensive resource for alternatively spliced human transcripts. It provides detailed annotations and analysis tools for understanding alternative splicing events and their impact on protein function.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Alternative splicing (AS) is a key mechanism for increasing protein diversity in eukaryotes.
- Understanding AS is crucial for comprehending gene regulation and cellular function.
- Existing databases may lack comprehensive annotations or specific analysis tools for AS variants.
Purpose of the Study:
- To establish a specialized database, H-DBAS, for alternatively spliced human transcripts.
- To provide detailed annotations and analysis capabilities for AS variants.
- To facilitate the study of complex AS patterns and their functional consequences.
Main Methods:
- Curated a collection of 38,664 representative alternative splicing variants (RASVs) from 11,744 human gene loci.
- Annotated AS variants based on manual curation of full-length cDNAs from the H-Invitational annotation meeting.
- Developed the AS Viewer tool for analyzing AS events in the context of full-length cDNAs.
Main Results:
- H-DBAS contains 38,664 RASVs across 11,744 loci.
- Data is retrievable by AS patterns, amino acid/protein motif alterations, GO terms, localization signals, and transmembrane domains.
- The database includes complex AS patterns involving multiple coding sequences (CDS) from a single locus.
Conclusions:
- H-DBAS serves as a valuable, specialized resource for human alternative splicing research.
- The database enables detailed analysis of AS events and their functional implications.
- It supports empirical understanding of the relationship between AS and protein sequence/function.
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