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ESTprep: preprocessing cDNA sequence reads.

Todd E Scheetz1, Nishank Trivedi, Chad A Roberts

  • 1Center for Bioinformatics and Computational Biology, The University of Iowa, Iowa City, IA 52242, USA. tscheetz@eng.uiowa.edu

Bioinformatics (Oxford, England)
|July 23, 2003
PubMed
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Automated sequencing generates errors in expressed sequence tags (ESTs). ESTprep is a new program that preprocesses EST sequences, improving data accuracy for gene discovery projects.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Large-scale gene discovery relies on accurate and well-annotated data.
  • Automated sequencing, particularly for expressed sequence tags (ESTs), introduces inherent sequence errors.
  • These errors complicate automated identification of sequence features and data submission to public databases.

Purpose of the Study:

  • To introduce ESTprep, a novel software tool for preprocessing expressed sequence tag (EST) sequences.
  • To address the challenge of sequence errors in ESTs for improved data quality.

Main Methods:

  • ESTprep preprocesses EST sequences by identifying feature locations.
  • The program applies quality criteria to sequences before allowing them to pass.

Main Results:

Related Experiment Videos

  • ESTprep significantly enhances the accurate identification of features within ESTs.
  • The use of ESTprep leads to improved fidelity of data submitted to GenBank.

Conclusions:

  • ESTprep is an effective tool for preparing EST data for advanced annotation and public submission.
  • The program contributes to higher quality data in large-scale gene discovery initiatives.