Predicting metabolic potential in bacteria from limited genome data

How bacteria eat food, and what kinds of products they can make from that food, is dictated by the metabolic network of enzyme patterns encoded in their genomes. Using computational methods to learn these patterns across a large number of known bacteria allows the genome of a new bacteria to be analyzed. This reveals what kind of metabolism it is capable of—even when only partial information is provided, which is common in environmental samples.