New tool in the fight against tuberculosis: Algorithm enables cell-scale simulations

Researchers have developed a way to harness prodigious quantities of genomic and metabolic data by developing an algorithm that automatically integrates both data sets. The model, called probabilistic regulation of metabolism, enables researchers to perturb a regulatory gene or metabolic process and see how that affects the entire network. Although the researchers studied tuberculosis, the method holds promise for reconstructing network models for any organism with appropriate genomic data.

Read the whole article on Science Daily

More from Science Daily