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Related Experiment Videos

ESTminer: a Web interface for mining EST contig and cluster databases.

Yecheng Huang1, Janie Pumphrey, Alan R Gingle

  • 1Center for Applied Genetic Technologies, University of Georgia 111 Riverbend Road, Athens, GA 30602, USA.

Bioinformatics (Oxford, England)
|September 18, 2004
PubMed
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ESTminer provides a web application for mining expressed sequence tag (EST) datasets, enabling interactive exploration of contigs and clusters. This tool facilitates detailed analysis of cDNA library composition and EST member identification.

Area of Science:

  • Bioinformatics
  • Computational Biology

Background:

  • Expressed Sequence Tag (EST) data is crucial for understanding gene expression.
  • Mining large EST datasets requires efficient and interactive tools.

Purpose of the Study:

  • To develop ESTminer, a web application and database schema for interactive mining of EST contig and cluster datasets.
  • To provide a user-friendly interface for analyzing cDNA library composition and EST membership.

Main Methods:

  • ESTminer is a Java/JSP web application with a database schema.
  • The interface allows selection of contigs/clusters based on library makeup or member count.
  • Results are visualized as expandable, color-coded tree nodes indicating library components.

Main Results:

Related Experiment Videos

  • Interactive querying of EST datasets is enabled.
  • Detailed library statistics and EST/contig members are accessible.
  • Functionality for 'queries within queries' allows for refined data filtering.

Conclusions:

  • ESTminer offers a powerful platform for exploring and analyzing EST data.
  • The application enhances the interactive mining of gene expression datasets.