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A great variety of software applications are now employed in the metabolic engineering field. These applications have been created to support a wide range of experimental and analysis techniques. Computational tools are utilized throughout the metabolic engineering workflow to extract and interpret relevant information from large data sets, to present complex models in a more manageable form, and to propose efficient network design strategies. In this review, we present a number of tools thatdoi:10.1016/j.ymben.2012.03.001 pmid:22629572 pmcid:PMC3361690 fatcat:xqnmydnnejcupp2ujup45krwnm