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Related Experiment Videos

Expressed sequence tags: alternative or complement to whole genome sequences?

Stephen Rudd1

  • 1Institut für Bioinformatik, GSF Forschungszentrum für Umwelt und Gesundheit, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. s.rudd@gsf.de

Trends in Plant Science
|July 25, 2003
PubMed
Summary
This summary is machine-generated.

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Plant expressed sequence tag (EST) databases offer a valuable resource with over three million sequences from 200 species. These EST collections are crucial for biodiversity, gene discovery, and enabling genome-scale experiments in plants.

Area of Science:

  • Plant genomics
  • Bioinformatics
  • Molecular biology

Background:

  • Publicly available plant expressed sequence tag (EST) databases contain over three million sequences from approximately 200 plant species.
  • ESTs are generated as an alternative to whole genome sequencing or for cDNA array-based expression analyses.
  • These collections represent a significant resource for biodiversity and gene discovery.

Purpose of the Study:

  • To highlight the value of plant EST databases as a resource for research.
  • To demonstrate the utility of bioinformatics tools in analyzing EST data.
  • To underscore the role of ESTs in advancing plant genomics.

Main Methods:

  • Bioinformatics-based sequence analysis of EST data.
  • Utilizing EST collections for gene discovery and annotation.

Related Experiment Videos

  • Leveraging ESTs for proteomics and marker development.

    • Main Results:

    • EST analysis has expanded into proteomics, marker development, and genome annotation.
    • EST collections serve as a foundational resource for genome-scale experiments.
    • This "poor man's genome" approach is vital for plants lacking sequenced genomes.

    Conclusions:

    • Plant EST databases are a formidable resource for biodiversity and gene discovery.
    • Bioinformatics tools enhance the analytical scope of EST data.
    • EST collections are essential for advancing research in plant genomics, especially for unsequenced genomes.