Mycobacterium tuberculosis (MTB) causes ~12 million cases of active disease and 1.4 million deaths each year, and our tools to combat tuberculosis (TB) disease are universally outdated and overmatched. We anticipate that a systems-based analysis, with large-scale, multi-omics data collection and iterative cycles of modeling, prediction and testing, is the ideal means to detect patterns in the underlying complexity and define the critical regulatory components. This website serves as a portal for computational modeling program to generate an integrated, predictive gene regulatory network model of host/pathogen interactions.
Please cite the following if this resource has been helpful in your research. Turkarslan et al., Sci Data. 2015 "A comprehensive map of genome-wide gene regulation in Mycobacterium tuberculosis.", Mar 31;2:150010. doi: 10.1038/sdata.2015.10. eCollection 2015.