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Related Experiment Videos

ESTAnnotator: A tool for high throughput EST annotation.

Agnes Hotz-Wagenblatt1, Thomas Hankeln, Peter Ernst

  • 1Department of Molecular Biophysics, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany. hotz-wagenblatt@dkfz.de

Nucleic Acids Research
|June 26, 2003
PubMed
Summary

ESTAnnotator automates high throughput annotation of expressed sequence tags (ESTs) by integrating multiple bioinformatics tools. This approach enhances gene discovery and characterization for complex biological processes.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • High throughput sequence analysis requires integrating diverse bioinformatics tools for comprehensive data interpretation.
  • No single tool can fulfill all information requirements in analyzing large-scale sequencing data.

Purpose of the Study:

  • To develop and present ESTAnnotator, a novel tool for automated, high throughput annotation of expressed sequence tags (ESTs).
  • To systematically identify and characterize novel human genes involved in cartilage and bone biology.

Main Methods:

  • ESTAnnotator integrates a pipeline of bioinformatics applications for EST analysis.
  • Includes quality control, masking of repeats and low-quality regions, database searching, and EST clustering.
  • Performs both transcript and protein-level database searches for comprehensive annotation.

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Main Results:

  • ESTAnnotator successfully combines outputs from multiple bioinformatics tools into a descriptive summary.
  • The tool has been applied to the systematic identification and characterization of novel human genes.
  • Demonstrated utility in studying genes related to cartilage/bone formation, growth, differentiation, and homeostasis.

Conclusions:

  • ESTAnnotator provides an automated solution for high throughput EST annotation.
  • Facilitates the discovery and characterization of genes involved in specific biological pathways.
  • Offers a valuable platform for large-scale genomic and transcriptomic studies.