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 ption 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.
Catia Machado, Hugo P. Bastos, Francisco M. Couto