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Related Experiment Videos

ESTExplorer: an expressed sequence tag (EST) assembly and annotation platform.

Shivashankar H Nagaraj1, Nandan Deshpande, Robin B Gasser

  • 1Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW 2109, Australia.

Nucleic Acids Research
|June 5, 2007
PubMed
Summary
This summary is machine-generated.

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ESTExplorer is a new workflow system for analyzing expressed sequence tag (EST) data. It aids in transcriptome elucidation and identifying potential drug targets in organisms like parasitic nematodes.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Expressed sequence tag (EST) datasets provide rapid transcriptome insights but require complex computational analysis for assembly and annotation.
  • Existing methods for EST analysis can be fragmented and lack comprehensive workflow integration.

Purpose of the Study:

  • To introduce ESTExplorer, a unified workflow system for efficient management and analysis of expressed sequence tag (EST) data.
  • To streamline the process of transcriptome elucidation and gene discovery from EST datasets.

Main Methods:

  • ESTExplorer employs a distributed control approach, utilizing dedicated processors for optimal bioinformatics tool implementation.
  • The system incorporates species-specific repeat masking and conceptual translation, accepting ESTs in FASTA format.

Related Experiment Videos

  • Annotation is performed at both nucleotide and protein levels, with optional input of pre-assembled contigs.

    • Main Results:

    • ESTExplorer successfully annotated large EST datasets from parasitic nematodes, identifying novel genes.
    • The system generates gene ontologies and protein functional identifications, including mapping to protein domains and metabolic pathways.
    • Functionally annotated ESTs and contigs can be individually analyzed for detailed insights.

    Conclusions:

    • ESTExplorer offers a comprehensive and efficient solution for EST data analysis and transcriptome annotation.
    • The workflow facilitates the identification of novel genes, particularly valuable for discovering potential therapeutic targets in parasitic organisms.