V. Acuña, F. Chierichetti, V. Lacroix, A. Marchetti-spaccamela, M. Sagot et al., Modes and cuts in metabolic networks: Complexity and algorithms, Biosystems, issue.1, pp.9551-60, 2009.

V. Acuña, E. Birmelé, L. Cottret, P. Crescenzi, F. Jourdan et al., Telling stories: Enumerating maximal directed acyclic graphs with a constrained set of sources and targets, Theoretical Computer Science, issue.0, pp.4571-4580, 2012.

V. Acuña, P. V. Milreu, L. Cottret, A. Marchetti-spaccamela, L. Stougie et al., Algorithms and complexity of enumerating minimal precursor sets in genome-wide metabolic networks, Bioinformatics, vol.28, issue.19, 2012.
DOI : 10.1093/bioinformatics/bts423

A. V. Antonov, S. Dietmann, P. Wong, and H. W. Mewes, TICL - a web tool for network-based interpretation of compound lists inferred by high-throughput metabolomics, FEBS Journal, vol.19, issue.7, pp.2762084-2094, 2009.
DOI : 10.1111/j.1742-4658.2009.06943.x

M. Arita, The metabolic world of Escherichia coli is not small, Proceedings of the National Academy of Sciences, vol.101, issue.6, pp.1543-1547, 2004.
DOI : 10.1073/pnas.0306458101

G. Ausiello, P. Crescenzi, G. Gambosi, V. Kann, A. Marchetti-spaccamela et al., Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties, 1999.
DOI : 10.1007/978-3-642-58412-1

G. Ausiello, P. Franciosa, and D. Frigioni, Directed Hypergraphs: Problems, Algorithmic Results, and a Novel Decremental Approach, Theoretical Computer Science, pp.312-328, 2001.
DOI : 10.1007/3-540-45446-2_20

J. Bang-jensen and G. Gutin, Digraphs: Theory, Algorithms and Applications, 2010.
DOI : 10.1007/978-1-84800-998-1

A. Barve, J. F. Rodrigues, and A. Wagner, Superessential reactions in metabolic networks, Proceedings of the National Academy of Sciences, 2012.
DOI : 10.1073/pnas.1113065109

C. Berge, Graphs and Hypergraphs. North-Holland Mathematical Library, 1976.

N. Betzler, Steiner tree problems in the analysis of biological networks, 2005.

T. Blum and O. Kohlbacher, Using Atom Mapping Rules for an Improved Detection of Relevant Routes in Weighted Metabolic Networks, Journal of Computational Biology, vol.15, issue.6, pp.565-576, 2008.
DOI : 10.1089/cmb.2008.0044

J. Bondy and U. Murty, Graph theory with applications, 1976.
DOI : 10.1007/978-1-349-03521-2

E. Borenstein, M. Kupiec, M. W. Feldman, and E. And-ruppin, Large-scale reconstruction and phylogenetic analysis of metabolic environments, Proceedings of the National Academy of Sciences, vol.105, issue.38, pp.10514482-14487, 2008.
DOI : 10.1073/pnas.0806162105

K. Bourtzis and T. A. Miller, Insect Symbiosis, 2008.
DOI : 10.1201/9780203009918

F. Boyer and A. Viari, Ab initio reconstruction of metabolic pathways, ECCB, pp.26-34, 2003.
DOI : 10.1093/bioinformatics/btg1055

N. Boyle and J. Morgan, Flux balance analysis of primary metabolism in Chlamydomonas reinhardtii, BMC Systems Biology, vol.3, issue.1, p.4, 2009.
DOI : 10.1016/0165-022X(81)90067-1

L. Brinza, J. Viñuelas, L. Cottret, F. Calevro, Y. Rahbé et al., Systemic analysis of the symbiotic function of Buchnera aphidicola, the primary endosymbiont of the pea aphid Acyrthosiphon pisum, Comptes Rendus Biologies, vol.332, issue.11, pp.3321034-1049, 2009.
DOI : 10.1016/j.crvi.2009.09.007

URL : https://hal.archives-ouvertes.fr/hal-00539412

P. Carbonell, D. Fichera, S. Pandit, and J. And-faulon, Enumerating metabolic pathways for the production of heterologous target chemicals in chassis organisms, BMC Systems Biology, vol.6, issue.1, p.10, 2012.
DOI : 10.1016/j.cor.2003.11.014

R. Caspi, T. Altman, J. M. Dale, K. Dreher, C. A. Fulcher et al., The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases, Nucleic Acids Research, vol.38, issue.Database, pp.473-479, 2010.
DOI : 10.1093/nar/gkp875

F. Centler, P. S. Fenizio, N. Matsumaru, and P. Dittrich, Chemical Organizations in the Central Sugar Metabolism of Escherichia coli, Mathematical Modeling of Biological Systems, Volume I, Modeling and Simulation in Science, Engineering and Technology, pp.105-119, 2007.
DOI : 10.1007/978-0-8176-4558-8_10

F. Centler, C. Kaleta, P. S. Di-fenizio, and P. Dittrich, Computing chemical organizations in biological networks, Bioinformatics, vol.24, issue.14, pp.241611-1618, 2008.
DOI : 10.1093/bioinformatics/btn228

H. Charles and P. Nardon, Enigmatic Microorganisms and Life in Extreme Environments , volume 1 of Cellular Origin and Life in Extreme Habitats, chapter Intracellular symbiotic bacteria within insects, pp.651-660, 1999.

T. U. Consortium, The Universal Protein Resource (UniProt) 2009, Nucleic Acids Research, vol.37, issue.Database, pp.169-174, 2009.
DOI : 10.1093/nar/gkn664

T. Cormen, C. Leiserson, R. Rivest, and C. Stein, Introduction To Algorithms, 2001.

L. Cottret, P. V. Milreu, V. Acuña, A. Marchetti-spaccamela, F. V. Martinez et al., Enumerating Precursor Sets of Target Metabolites in a Metabolic Network, WABI'2008, pp.233-244, 2008.
DOI : 10.1007/978-3-540-87361-7_20

URL : https://hal.archives-ouvertes.fr/hal-00428200

L. Cottret, P. V. Milreu, V. Acuña, A. Marchetti-spaccamela, L. Stougie et al., Graph-Based Analysis of the Metabolic Exchanges between Two Co-Resident Intracellular Symbionts, Baumannia cicadellinicola and Sulcia muelleri, with Their Insect Host, Homalodisca coagulata, PLoS Computational Biology, vol.106, issue.9, p.1000904, 2010.
DOI : 10.1371/journal.pcbi.1000904.s030

URL : https://hal.archives-ouvertes.fr/hal-00690650

L. Cottret, D. Wildridge, F. Vinson, M. P. Barrett, H. Charles et al., MetExplore: a web server to link metabolomic experiments and genome-scale metabolic networks, Nucleic Acids Research, vol.38, issue.Web Server, pp.132-137, 2010.
DOI : 10.1093/nar/gkq312

URL : https://hal.archives-ouvertes.fr/hal-00690651

D. Croes, F. Couche, S. J. Wodak, and J. Van-helden, Inferring Meaningful Pathways in Weighted Metabolic Networks, Journal of Molecular Biology, vol.356, issue.1, pp.222-236, 2006.
DOI : 10.1016/j.jmb.2005.09.079

H. M. Deitel and P. J. Deitel, Java How to Program, 2007.

M. T. Dittrich, G. W. Klau, A. Rosenwald, T. Dandekar, and T. Muller, Identifying functional modules in protein-protein interaction networks: an integrated exact approach, Bioinformatics, vol.24, issue.13, pp.24-223, 2008.
DOI : 10.1093/bioinformatics/btn161

P. Dittrich and P. S. Di-fenizio, Chemical Organisation Theory, Bulletin of Mathematical Biology, vol.96, issue.25, pp.1199-1231, 2007.
DOI : 10.1007/s11538-006-9130-8

P. Dupont, J. Callut, G. Dooms, J. Monette, and Y. Deville, Relevant subgraph extraction from random walks in a graph, Research Report RR, vol.380167, pp.2006-2013, 2006.

T. Eiter, K. Makino, and G. Gottlob, Computational aspects of monotone dualization: A brief survey, Discrete Applied Mathematics, vol.156, issue.11, pp.2035-2049, 2008.
DOI : 10.1016/j.dam.2007.04.017

G. Even, J. Naor, B. Schieber, and M. Sudan, Approximating Minimum Feedback Sets and Multicuts in Directed Graphs, Algorithmica, vol.20, issue.2, pp.151-174, 1998.
DOI : 10.1007/PL00009191

M. Fauchon, G. Lagniel, J. Aude, L. Lombardia, P. Soularue et al., Sulfur Sparing in the Yeast Proteome in Response to Sulfur Demand, Molecular Cell, vol.9, issue.4, pp.713-723, 2002.
DOI : 10.1016/S1097-2765(02)00500-2

K. Faust, P. Dupont, J. Callut, and J. Van-helden, Pathway discovery in metabolic networks by subgraph extraction, Bioinformatics, vol.26, issue.9, pp.1211-1218, 2010.
DOI : 10.1093/bioinformatics/btq105

A. Feist and B. Palsson, The biomass objective function, Current Opinion in Microbiology, vol.13, issue.3, pp.344-349, 2010.
DOI : 10.1016/j.mib.2010.03.003

A. M. Feist, M. J. Herrgard, I. Thiele, J. L. Reed, and B. O. Palsson, Reconstruction of biochemical networks in microorganisms, Nature Reviews Microbiology, vol.104, issue.2, pp.129-143, 2009.
DOI : 10.1038/nrmicro1949

S. S. Fong, A. P. Burgard, C. D. Herring, E. M. Knight, F. R. Blattner et al., In silico design and adaptive evolution of escherichia coli for production of lactic acid, Biotechnology and Bioengineering, issue.5, pp.91643-648, 2005.

W. Fontana and L. Buss, The Arrival of the fittest: towards a theory of biological organization, Bull. Math. Biol, vol.56, pp.1-64, 1994.

T. Gabaldon, J. Pereto, F. Montero, R. Gil, A. Latorre et al., Structural analyses of a hypothetical minimal metabolism, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.299, issue.5609, pp.3621751-1762, 1486.
DOI : 10.1126/science.299.5609.1006

J. Gagneur, R. Krause, T. Bouwmeester, C. , and G. , Modular decomposition of protein-protein interaction networks, Genome Biology, vol.5, issue.8, p.57, 2004.
DOI : 10.1186/gb-2004-5-8-r57

M. R. Garey and D. S. Johnson, Computers and Intractability; A Guide to the Theory of NP-Completeness, 1990.

A. Gevorgyan, M. G. Poolman, and D. A. Fell, Detection of stoichiometric inconsistencies in biomolecular models, Bioinformatics, vol.24, issue.19, pp.242245-2251, 2008.
DOI : 10.1093/bioinformatics/btn425

V. Gurvich and L. Khachiyan, On generating the irredundant conjunctive and disjunctive normal forms of monotone Boolean functions, Discrete Applied Mathematics, vol.96, issue.97, pp.96-97363, 1999.
DOI : 10.1016/S0166-218X(99)00099-2

T. Handorf, N. Christian, O. Ebenh?h, and D. Kahn, An environmental perspective on metabolism, Journal of Theoretical Biology, vol.252, issue.3, pp.530-537, 2008.
DOI : 10.1016/j.jtbi.2007.10.036

URL : https://hal.archives-ouvertes.fr/hal-00428159

T. Handorf, O. Ebenhöh, H. , and R. , Expanding Metabolic Networks: Scopes of Compounds, Robustness, and Evolution, Journal of Molecular Evolution, vol.268, issue.4, pp.498-512, 2005.
DOI : 10.1007/s00239-005-0027-1

P. Holme, M. Huss, and H. Jeong, Subnetwork hierarchies of biochemical pathways, Bioinformatics, vol.19, issue.4, pp.532-538, 2003.
DOI : 10.1093/bioinformatics/btg033

M. Hucka, A. Finney, B. J. Bornstein, S. M. Keating, B. E. Shapiro et al., Evolving a lingua franca and associated software infrastructure for computational systems biology: the Systems Biology Markup Language (SBML) project, Systems Biology, vol.1, issue.1, pp.41-53, 2004.
DOI : 10.1049/sb:20045008

I. Jacobson, G. Booch, R. , and J. , The Unified Software Development Process, 2012.

D. S. Johnson, M. Yannakakis, and C. H. Papadimitriou, On generating all maximal independent sets, Information Processing Letters, vol.27, issue.3, pp.119-123, 1988.
DOI : 10.1016/0020-0190(88)90065-8

A. R. Joyce and B. O. Palsson, Predicting Gene Essentiality Using Genome-Scale in Silico Models, Microbial Gene Essentiality: Protocols and Bioinformatics, pp.433-457, 2008.
DOI : 10.1007/978-1-59745-321-9_30

C. Kaleta, F. Centler, and P. Dittrich, Analyzing Molecular Reaction Networks: From Pathways to Chemical Organizations, Molecular Biotechnology, vol.34, issue.2, pp.117-123, 2006.
DOI : 10.1385/MB:34:2:117

C. Kaleta, S. Richter, and P. Dittrich, Using chemical organization theory for model checking, Bioinformatics, vol.25, issue.15, pp.251915-1922, 2009.
DOI : 10.1093/bioinformatics/btp332

M. Kanehisa, M. Araki, S. Goto, M. Hattori, M. Hirakawa et al., KEGG for linking genomes to life and the environment, Nucleic Acids Research, vol.36, issue.Database, pp.480-484, 2008.
DOI : 10.1093/nar/gkm882

R. M. Karp, Reducibility among combinatorial problems, Complexity of Computer Computations, pp.85-103, 1972.
DOI : 10.1007/978-3-540-68279-0_8

K. J. Kauffman, P. Prakash, and J. S. Edwards, Advances in flux balance analysis, Current Opinion in Biotechnology, vol.14, issue.5, pp.491-496, 2003.
DOI : 10.1016/j.copbio.2003.08.001

S. Klamt, U. Haus, and F. Theis, Hypergraphs and Cellular Networks, PLoS Computational Biology, vol.9, issue.5, p.1000385, 2009.
DOI : 10.1371/journal.pcbi.1000385.g002

URL : http://doi.org/10.1371/journal.pcbi.1000385

C. Klein, L. Cottret, J. Kielbassa, H. Charles, C. Gautier et al., Exploration of the core metabolism of symbiotic bacteria, BMC Genomics, vol.13, issue.1, p.438, 2012.
DOI : 10.1146/annurev.genet.41.110306.130119

URL : https://hal.archives-ouvertes.fr/hal-00784396

C. Klein, A. Marino, M. Sagot, P. Vieira-milreu, and M. Brilli, Structural and dynamical analysis of biological networks, Briefings in Functional Genomics, vol.11, issue.6, 2012.
DOI : 10.1093/bfgp/els030

URL : https://hal.archives-ouvertes.fr/hal-00737455

D. Koschutzki and F. Schreiber, Centrality analysis methods for biological networks and their application to gene regulatory networks, Gene Regulation and Systems Biology, vol.2, pp.193-201, 2008.

V. Lacroix, L. Cottret, P. Thébault, and M. F. Sagot, An Introduction to Metabolic Networks and Their Structural Analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.5, issue.4, pp.594-617, 2008.
DOI : 10.1109/TCBB.2008.79

URL : https://hal.archives-ouvertes.fr/hal-00355497

A. Larhlimi and A. Bockmayr, A new constraint-based description of the steady-state flux cone of metabolic networks, Discrete Applied Mathematics, vol.157, issue.10, pp.2257-2266, 2009.
DOI : 10.1016/j.dam.2008.06.039

D. P. Leader, K. Burgess, D. Creek, and M. P. Barrett, Pathos: A web facility that uses metabolic maps to display experimental changes in metabolites identified by mass spectrometry, Rapid Communications in Mass Spectrometry, vol.37, issue.22, pp.253422-3426, 2011.
DOI : 10.1002/rcm.5245

Z. Li, Y. Lu, R. Zhen, M. Szczypka, D. J. Thiele et al., A new pathway for vacuolar cadmium sequestration in Saccharomyces cerevisiae: YCF1-catalyzed transport of bis(glutathionato)cadmium, Proceedings of the National Academy of Sciences, vol.94, issue.1, 1997.
DOI : 10.1073/pnas.94.1.42

G. Madalinski, E. Godat, S. Alves, D. Lesage, E. Genin et al., Direct Introduction of Biological Samples into a LTQ-Orbitrap Hybrid Mass Spectrometer as a Tool for Fast Metabolome Analysis, Analytical Chemistry, vol.80, issue.9, pp.3291-3303, 2008.
DOI : 10.1021/ac7024915

S. Marashi and A. Bockmayr, Flux coupling analysis of metabolic networks is sensitive to missing reactions, Biosystems, vol.103, issue.1, pp.57-66, 2011.
DOI : 10.1016/j.biosystems.2010.09.011

O. Mason and M. Verwoerd, Graph theory and networks in Biology, IET Systems Biology, vol.1, issue.2, pp.89-119, 2007.
DOI : 10.1049/iet-syb:20060038

J. P. Mccutcheon and N. A. Moran, Parallel genomic evolution and metabolic interdependence in an ancient symbiosis, Proceedings of the National Academy of Sciences, vol.104, issue.49, pp.19392-19397, 2007.
DOI : 10.1073/pnas.0708855104

P. Milreu, V. Acuña, E. Birmelé, P. Crescenzi, A. Marchetti-spaccamela et al., Enumerating Chemical Organisations in Consistent Metabolic Networks: Complexity and Algorithms, Algorithms in Bioinformatics Lecture Notes in Computer Science, vol.6293, pp.226-237, 2010.
DOI : 10.1007/978-3-642-15294-8_19

URL : https://hal.archives-ouvertes.fr/hal-00751339

L. R. Nielsen, K. A. Andersen, and D. Pretolani, Finding the K shortest hyperpaths, Computers & Operations Research, vol.32, issue.6, pp.1477-1497, 2005.
DOI : 10.1016/j.cor.2003.11.014

J. D. Orth and B. Palsson, Systematizing the generation of missing metabolic knowledge, Biotechnology and Bioengineering, vol.98, issue.14, pp.403-412, 2010.
DOI : 10.1002/bit.22844

J. A. Papin, J. Stelling, N. D. Price, S. Klamt, S. Schuster et al., Comparison of network-based pathway analysis methods, Trends in Biotechnology, vol.22, issue.8, pp.22400-405, 2004.
DOI : 10.1016/j.tibtech.2004.06.010

G. Pavlopoulos, M. Secrier, C. Moschopoulos, T. Soldatos, S. Kossida et al., Using graph theory to analyze biological networks, BioData Mining, vol.19, issue.4, p.10, 2011.
DOI : 10.1186/1756-0381-4-10

P. Pharkya, A. P. Burgard, and C. D. Maranas, OptStrain: A computational framework for redesign of microbial production systems, Genome Research, vol.14, issue.11, pp.2367-2376, 2004.
DOI : 10.1101/gr.2872004

M. G. Poolman, C. Sebu, M. K. Pidcock, and D. A. Fell, Modular decomposition of metabolic systems via null-space analysis, Journal of Theoretical Biology, vol.249, issue.4, pp.691-705, 2007.
DOI : 10.1016/j.jtbi.2007.08.005

N. D. Price, J. A. Papin, C. H. Schilling, and B. O. Palsson, Genome-scale microbial in silico models: the constraints-based approach, Trends in Biotechnology, vol.21, issue.4, pp.162-169, 2003.
DOI : 10.1016/S0167-7799(03)00030-1

R. Raz and S. Safra, A sub-constant error-probability low-degree test, and a subconstant error-probability pcp characterization of np, Proceedings of the twenty-ninth annual ACM symposium on Theory of computing, STOC '97, pp.475-484, 1997.

J. L. Reed, I. Famili, I. Thiele, and B. O. Palsson, Towards multidimensional genome annotation, Nature Reviews Genetics, vol.420, issue.2, pp.130-141, 2006.
DOI : 10.1038/nrg1769

P. R. Romero and P. Karp, NUTRIENT-RELATED ANALYSIS OF PATHWAY/GENOME DATABASES, Biocomputing 2001, pp.471-482, 2001.
DOI : 10.1142/9789814447362_0046

S. Kumar, V. Dasika, M. Maranas, and C. , Optimization based automated curation of metabolic reconstructions, BMC Bioinformatics, vol.8, issue.1, p.212, 2007.
DOI : 10.1186/1471-2105-8-212

S. Kumar, V. Dasika, M. Maranas, and C. , Optimization based automated curation of metabolic reconstructions, BMC Bioinformatics, vol.8, issue.1, p.212, 2007.
DOI : 10.1186/1471-2105-8-212

M. Scheer, A. Grote, A. Chang, I. Schomburg, C. Munaretto et al., BRENDA, the enzyme information system in 2011, Nucleic Acids Research, vol.39, issue.Database, pp.670-676, 2011.
DOI : 10.1093/nar/gkq1089

C. H. Schilling, D. Letscher, and B. O. Palsson, Theory for the Systemic Definition of Metabolic Pathways and their use in Interpreting Metabolic Function from a Pathway-Oriented Perspective, Journal of Theoretical Biology, vol.203, issue.3, pp.229-248, 2000.
DOI : 10.1006/jtbi.2000.1073

J. Schmidt, Enumeration: algorithms and complexity, 2009.

S. Schuster, T. Dandekar, and D. A. Fell, Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering, Trends in Biotechnology, vol.17, issue.2, pp.53-60, 1999.
DOI : 10.1016/S0167-7799(98)01290-6

S. Schuster and C. Hilgetag, ON ELEMENTARY FLUX MODES IN BIOCHEMICAL REACTION SYSTEMS AT STEADY STATE, Journal of Biological Systems, vol.02, issue.02, pp.165-182, 1994.
DOI : 10.1142/S0218339094000131

B. Schwikowski and E. Speckenmeyer, On enumerating all minimal solutions of feedback problems, Discrete Applied Mathematics, vol.117, issue.1-3, pp.253-265, 2002.
DOI : 10.1016/S0166-218X(00)00339-5

M. S. Scott, T. Perkins, S. Bunnell, F. Pepin, D. Y. Thomas et al., Identifying Regulatory Subnetworks for a Set of Genes, Molecular & Cellular Proteomics, vol.4, issue.5, pp.683-692, 2005.
DOI : 10.1074/mcp.M400110-MCP200

P. D. Seymour, Packing directed circuits fractionally, Combinatorica, vol.2, issue.2, pp.281-288, 1995.
DOI : 10.1007/BF01200760

J. Stelling, Mathematical models in microbial systems biology, Current Opinion in Microbiology, vol.7, issue.5, pp.513-518, 2004.
DOI : 10.1016/j.mib.2004.08.004

P. F. Suthers, A. Zomorrodi, and C. D. Maranas, Genome-scale gene/reaction essentiality and synthetic lethality analysis, Molecular Systems Biology, vol.177, 2009.
DOI : 10.1038/msb4100034

URL : http://doi.org/10.1038/msb.2009.56

H. Takahashi and A. Matsuyama, An approximate solution for the steiner problem in graphs, Math Japan, vol.24, pp.573-577, 1980.

I. Thiele and B. O. Palsson, A protocol for generating a high-quality genome-scale metabolic reconstruction, Nature Protocols, vol.161, issue.1, pp.93-121, 2010.
DOI : 10.1186/1752-0509-3-37

R. Urbanczik and C. Wagner, Functional stoichiometric analysis of metabolic networks, Bioinformatics, vol.21, issue.22, pp.4176-4180, 2005.
DOI : 10.1093/bioinformatics/bti674

D. Vallenet, L. Labarre, Z. Rouy, V. Barbe, S. Bocs et al., MaGe: a microbial genome annotation system supported by synteny results, Nucleic Acids Research, vol.34, issue.1, pp.53-65, 2006.
DOI : 10.1093/nar/gkj406

J. Van-helden, L. Wernisch, D. Gilbert, and S. J. Wodak, Graph-Based Analysis of Metabolic Networks, Ernst Schering Res Found Workshop, vol.38, pp.245-74, 2002.
DOI : 10.1007/978-3-662-04747-7_12

A. Varma and B. O. Palsson, Metabolic Flux Balancing: Basic Concepts, Scientific and Practical Use, Bio/Technology, vol.43, issue.10, pp.994-998, 1994.
DOI : 10.1006/jtbi.1993.1203

A. Varma and B. O. Palsson, Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type escherichia coli w3110, Applied and Environmental Microbiology, issue.10, pp.603724-3731, 1994.

W. Verwoerd, A new computational method to split large biochemical networks into coherent subnets, BMC Systems Biology, vol.5, issue.1, p.25, 2011.
DOI : 10.1186/1752-0509-5-25

J. Yoon, Y. Si, R. Nolan, L. , and K. , Modular decomposition of metabolic reaction networks based on flux analysis and pathway projection, Bioinformatics, vol.23, issue.18, pp.232433-2440, 2007.
DOI : 10.1093/bioinformatics/btm374