title: Mackinac: a bridge between ModelSEED and COBRApy to generate and analyze genome-scale metabolic models.
abstract: CONCLUSIONS
  Reconstructing and analyzing a large number of genome-scale metabolic models is a fundamental part of the integrated study of microbial communities; however, two of the most widely used frameworks for building and analyzing models use different metabolic network representations. Here we describe Mackinac, a Python package that combines ModelSEED's ability to automatically reconstruct metabolic models with COBRApy's advanced analysis capabilities to bridge the differences between the two frameworks and facilitate the study of the metabolic potential of microorganisms.
  
  
  METHODS
  This package works with Python 2.7, 3.4, and 3.5 on MacOS, Linux and Windows. The source code is available from https://github.com/mmundy42/mackinac .
  
  
  BACKGROUND
  mundy.michael@mayo.edu or soares.maria@mayo.edu.
authors.affiliation: Center for Individualized Medicine.
authors.forename: Michael
authors.initials: M
authors.lastname: Mundy
authors.affiliation: Center for Individualized Medicine.|Department of Surgery.
authors.forename: Helena
authors.initials: H
authors.lastname: Mendes-Soares
authors.affiliation: Center for Individualized Medicine.|Department of Surgery.|Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Chia
mesh_terms: D001419:Bacteria / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D016678:Genome; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D012984:Software