2009 | OriginalPaper | Chapter
GREAT: Gene Regulation EvAluation Tool
Authors : Catia Machado, Hugo Bastos, Francisco Couto
Published in: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Publisher: Springer Berlin Heidelberg
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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.