GREAT: Gene Regulation EvAluation Tool

  • Catia Machado
  • Hugo Bastos
  • Francisco Couto
Conference paper

DOI: 10.1007/978-3-642-02481-8_142

Volume 5518 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Machado C., Bastos H., Couto F. (2009) GREAT: Gene Regulation EvAluation Tool. In: Omatu S. et al. (eds) Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg

Abstract

Our understanding of biological systems is highly dependent on the study of the mechanisms that regulate genetic expression. In this paper we present a tool to evaluate scientific papers that potentially describe Saccharomyces cerevisiae gene regulations, following the identification of transcription factors in abstracts using text mining techniques. GREAT evaluates the probability of a given gene-transcription factor pair corresponding to a gene regulation based on data retrieved from public biological databases.

Keywords

Gene Ontology gene regulations Saccharomyces cerevisiae text mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Catia Machado
    • 1
  • Hugo Bastos
    • 1
  • Francisco Couto
    • 1
  1. 1.Department of Informatics, Faculty of SciencesUniversity of LisbonLisbonPortugal