A. Julien-laferrière, A combinatorial algorithm for microbial consortia synthetic design, Nature, p.29182, 2016.

H. Bradley and M. , Integer Programming, Applied Mathematical Programming, issue.9, 1977.

C. E. Miller, A. W. Tucker, and R. A. Zemlin, Integer programming formulation of the traveling salesman problems, Journal of the ACM, vol.7, pp.326-329, 1960.

C. Frioux, Technical note hybrid metabolic network completion, 2018.

I. Dunning, J. Huchette, and M. Lubin, Jump: A modeling language for mathematical optimization, SIAM Review, vol.59, issue.2, pp.295-320, 2017.

A. Ebrahim, J. A. Lerman, B. O. Palsson, and D. R. Hyduke, Cobrapy: Constraints-based reconstruction and analysis for python, BMC Systems Biology, vol.7, issue.1, p.74, 2013.

G. L. Nemhauser and L. A. Wolsey, Integer and combinatorial optimization, chapter Lagrangian Relaxation and Duality, Wiley-Interscience Series in Discrete Mathematics and Optimization, 1999.

G. B. Dantzig and P. Wolfe, Decomposition principle for linear programs, Operations Research, vol.8, issue.1, 1960.

W. E. Hart, C. D. Laird, J. Watson, D. L. Woodruff, G. A. Hackebeil et al., Siirola. Pyomo-optimization modeling in python, p.67, 2017.

, Former team which was splitted in Dyliss

J. F. Benders, Partitioning procedures for solving mixed-variables programming problems, Numerische Mathematik, 4 issue, vol.1, 1962.

S. Prigent, Meneco, a topologybased gap-filling tool applicable to degraded genome-wide metabolic networks, PLOS Computational Biology, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01449100

V. Helms, Principle of Computational Cell Biology, chapter 6.2 Stoichiometric Matrix, 2008.