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Using ORESTES ESTs to mine gene cancer expression data

Part 2. Genomics

2.7. ESTs: Cancer Genes and the Anatomy Project

Specialist Review

  1. Sandro J. de Souza,
  2. Pedro A.F. Galante,
  3. Rodrigo Soares

Published Online: 15 APR 2005

DOI: 10.1002/047001153X.g207205

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

How to Cite

de Souza, S. J., Galante, P. A. and Soares, R. 2005. Using ORESTES ESTs to mine gene cancer expression data. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 2:2.7:82.

Author Information

  1. Ludwig Institute for Cancer Research, São Paulo, Brazil

Publication History

  1. Published Online: 15 APR 2005

Abstract

One of the major challenges in bioinformatics is the development of tools and/or approaches that are able to mine the huge amount of data available in a manner that is effective and biologically meaningful. This is particularly important for cancer research, where public and private initiatives have produced cancer-oriented databases that are to some degree complementary but not yet fully integrated. We will discuss in this review one type of expressed sequence, ORESTES sequences, that comprised the basis of the Ludwig/Fapesp Human Cancer Genome Project (HCGP). Furthermore, we will discuss different approaches used by several groups to mine ORESTES data, especially when integrated to other types of data in cancer.

Keywords:

  • ORESTES;
  • ESTs;
  • transcriptome;
  • alternative splicing;
  • tumor