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Using UniGene, STACK, and TIGR indices

Part 2. Genomics

2.7. ESTs: Cancer Genes and the Anatomy Project

Basic Techniques and Approaches

  1. Alan G. Christoffels

Published Online: 15 APR 2005

DOI: 10.1002/047001153X.g207415

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

How to Cite

Christoffels, A. G. 2005. Using UniGene, STACK, and TIGR indices. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 2:2.7:89.

Author Information

  1. National University of Singapore, Temasek LifeSciences Laboratory, Singapore

Publication History

  1. Published Online: 15 APR 2005

Abstract

Expressed sequence tags (ESTs) are fragmented, single-pass reads that are processed into nonredundant gene loci to produce gene indices that are useful for genome sequence annotation. Three gene-indexing projects, namely, UniGene, STACK, and TIGR gene index have been developed independently in order to meet specific research goals. The utility of these indices have been enhanced by the availability of visualization tools for exploratory data analysis. In addition, the clustering tools for the generation of STACK and TIGR gene indices are made available to the research community.

Keywords:

  • EST;
  • clustering;
  • assembly;
  • STACK;
  • UniGene;
  • TIGR gene index