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Related Experiment Videos

WebTraceMiner: a web service for processing and mining EST sequence trace files.

Chun Liang1, Gang Wang, Lin Liu

  • 1Department of Botany, Miami University, Oxford, Ohio 45056, USA. liangc@muohio.edu

Nucleic Acids Research
|May 10, 2007
PubMed
Summary
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New tool WebTraceMiner aids in analyzing raw expressed sequence tag (EST) data. It helps validate error-prone ESTs and discover functional motifs by analyzing sequence termini.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Expressed sequence tags (ESTs) are crucial for genome characterization but face data quality challenges.
  • Standard EST processing removes sequence features vital for validation and functional motif discovery.

Purpose of the Study:

  • To introduce WebTraceMiner, a public service for processing raw EST traces.
  • To enhance data validation and mining of error-prone ESTs.

Main Methods:

  • WebTraceMiner analyzes raw EST traces for sequence features at cDNA insert termini.
  • It detects vector fragments, adapter/linker sequences, restriction sites, and polyA/polyT tails.

Main Results:

  • WebTraceMiner provides a focused approach to characterizing EST termini.

Related Experiment Videos

  • It complements existing EST resources for data analysis.

    • Conclusions:

    • WebTraceMiner facilitates the discovery of new functional motifs within ESTs.
    • This tool aids in validating error-prone EST data, improving genomic research.