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ASPicDB: a database web tool for alternative splicing analysis.

Mattia D'Antonio1, Tiziana Castrgnanò, Matteo Pallocca

  • 1Consorzio Interuniversitario CINECA, 00185, Rome, Italy.

Methods in Molecular Biology (Clifton, N.J.)
|January 12, 2015
PubMed
Summary
This summary is machine-generated.

Alternative splicing (AS) generates diverse RNA molecules from single genes, impacting transcriptome complexity. The ASPicDB web application aids in studying these splicing events and their biological significance.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Alternative splicing (AS) is a fundamental process in higher eukaryotes, generating transcriptomic and proteomic diversity from a single gene.
  • AS plays a crucial role in various biological processes and is implicated in diseases like cancer, with over 95% of human pre-mRNAs undergoing this modification.
  • Computational approaches and specialized databases are essential for understanding the complexity of AS.

Purpose of the Study:

  • To introduce ASPicDB, a novel web application designed for detailed analysis of the alternative splicing mechanism.
  • To provide powerful querying capabilities for investigating AS events across gene, transcript, and protein levels.
  • To offer integrated visualization tools for browsing and exporting AS data for further analysis.

Main Methods:

  • Development of the ASPicDB web application.
  • Implementation of querying systems for AS event interrogation.
  • Integration of web-based visualization tools for data exploration.

Main Results:

  • ASPicDB enables efficient recovery of detailed biological information regarding alternative splicing.
  • The application supports comprehensive analysis of AS at multiple biological levels.
  • Users can visualize and export splicing data for downstream investigations.

Conclusions:

  • ASPicDB serves as a valuable resource for researchers studying alternative splicing.
  • The tool facilitates a deeper understanding of AS mechanisms and their biological implications.
  • ASPicDB enhances the accessibility and analysis of complex splicing data.