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Updated: May 25, 2026

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Published on: February 2, 2019

CR-EST: a resource for crop ESTs.

C Künne1, M Lange, T Funke

  • 1Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466 Gatersleben, Germany.

Nucleic Acids Research
|December 21, 2004
PubMed
Summary
This summary is machine-generated.

The CR-EST database offers a comprehensive resource for crop expressed sequence tag (EST) data, including over 200,000 sequences from barley, wheat, pea, and potato. This database facilitates genetic research through sequence analysis and annotation tools.

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Area of Science:

  • Agricultural genomics
  • Bioinformatics
  • Plant science

Background:

  • Expressed sequence tags (ESTs) are valuable for gene discovery and functional genomics in crops.
  • Publicly accessible databases are crucial for consolidating and disseminating crop genetic information.
  • Existing resources may lack comprehensive data integration or user-friendly analysis tools.

Purpose of the Study:

  • To establish and maintain the Crop Expressed Sequence Tag (CR-EST) database as a central online resource.
  • To provide access to sequence, classification, clustering, and annotation data for crop EST projects.
  • To enhance crop research by offering integrated data and analytical tools.

Main Methods:

  • Compilation of over 200,000 EST sequences from 41 cDNA libraries across four crop species (barley, wheat, pea, potato).
  • Implementation of an automated EST preparation pipeline, including chimeric clone identification for data quality assurance.
  • Clustering of sequences into species-specific projects to generate non-redundant consensus sequences and singletons, forming unigenes.

Main Results:

  • The CR-EST database currently houses >200,000 ESTs, with barley contributing significantly to public data.
  • Generated a non-redundant set of ~22,600 consensus sequences and ~17,200 singletons, forming the basis for unigenes.
  • Developed a web application for BLAST alignments, Gene Ontology, metabolic pathway annotations, and sequence similarity queries.

Conclusions:

  • CR-EST serves as a vital, publicly available resource for crop genetic and genomic research.
  • The database integrates diverse data types and provides interactive tools for sequence analysis and visualization.
  • Facilitates exploration of Gene Ontology mappings and open reading frames, advancing functional genomics studies in crops.