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Related Experiment Videos

Advances in the Exon-Intron Database (EID).

Valery Shepelev1, Alexei Fedorov

  • 1Department of Medicine and Program in Bioinformatics and Proteomics/Genomics, Medical University of Ohio, Toledo OH 43614, USA.

Briefings in Bioinformatics
|June 15, 2006
PubMed
Summary
This summary is machine-generated.

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The Exon-Intron Database (EID) aids genomic studies by providing curated exon and intron data. Analysis of 11,025 orthologous genes shows no convincing intron gain events in mammals.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Investigating exon-intron gene structures is challenging due to large eukaryotic genomes, diverse gene forms, and imperfect sequence data.
  • Existing informational systems for gene characteristics are crucial for genomic studies, with the Exon-Intron Database (EID) being valuable for large-scale computational analysis of exon/intron structure and splicing.

Purpose of the Study:

  • To describe innovations and enhancements in the Exon-Intron Database (EID).
  • To introduce the Mammalian Orthologous Intron Database (MOID) for analyzing introns in orthologous genes.
  • To present comparative analyses of intron positions in mammalian orthologous genes and discuss genomic database quality issues.

Main Methods:

  • The Exon-Intron Database (EID) incorporates internal filters for sequence quality, gene description consistency, standards compliance, and error detection.

Related Experiment Videos

  • EID has been expanded to include untranslated regions and intron-less genes, with species-specific databases generated for fully sequenced genomes.
  • A novel Mammalian Orthologous Intron Database (MOID) was created, and comparative statistical analyses were performed on 11,025 orthologous genes from human, mouse, and rat.

    • Main Results:

    • The Exon-Intron Database (EID) now includes data on untranslated regions and intron-less genes, alongside species-specific databases.
    • The Mammalian Orthologous Intron Database (MOID) facilitates the study of orthologous introns.
    • Comparative analysis of 11,025 orthologous genes across human, mouse, and rat revealed no convincing instances of intron gain. Approximately 5% of genes in genomic databases contain internal stop codons, attributed to biological factors and annotation errors.

    Conclusions:

    • The enhanced Exon-Intron Database (EID) and the new Mammalian Orthologous Intron Database (MOID) provide valuable resources for genomic research.
    • Comparative analyses suggest evolutionary stability in intron positions among mammalian orthologous genes.
    • Data quality in genomic databases remains a concern, with internal stop codons impacting gene annotation accuracy.