Tuberculosis

Scientists at Seattle University describe research in tuberculosis

Published in TB and Outbreaks Week, December 25th, 2007

According to a study from the United States, "The prediction of operons in Mycobacterium tuberculosis (MTB) is a first step toward understanding the regulatory network of this pathogen. Here we apply a statistical model using logistic regression to predict operons in MTB."

"As predictors, our model incorporates intergenic distance and the correlation of gene expression calculated for adjacent gene pairs from over 474 microarray experiments with MTB RNA. We validate our findings with known examples from the literature and experimentation," wrote P. Roback and colleagues, Seattle University.

The researchers concluded: "From this model, we rank each...

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Source: TB and Outbreaks Week (2007-12-25)

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