New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures, Nucleic Acids Research, vol.41, issue.D1, pp.490-498, 2013. ,
DOI : 10.1093/nar/gks1211
SCOPe: Structural Classification of Proteins???extended, integrating SCOP and ASTRAL data and classification of new structures, Nucleic Acids Research, vol.42, issue.D1, pp.304-309, 2014. ,
DOI : 10.1093/nar/gkt1240
Learning local languages and its application to protein /spl alpha/-chain identification, Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences HICSS-94, pp.113-122, 1994. ,
DOI : 10.1109/HICSS.1994.323560
Protein Motif Prediction by Grammatical Inference, Lecture Notes in Computer Science, vol.4201, pp.175-187, 2006. ,
DOI : 10.1007/11872436_15
IgTM: An algorithm to predict transmembrane domains and topology in proteins, BMC Bioinformatics, vol.9, issue.1, 2008. ,
DOI : 10.1186/1471-2105-9-367
Apprentissage d'automates modélisant des familles de séquences protéiques, Université Rennes, vol.1, 2008. ,
Closed-Label Concept Lattice Based Rule Extraction Approach ,
DOI : 10.1007/978-3-642-59830-2
Generating decision tree from lattice for classification, 7th International Conference on Applied Informatics, pp.377-384, 2007. ,
Learning classification rules using lattices (Extended abstract), Lecture Notes in Computer Science, vol.912, pp.343-346, 1995. ,
DOI : 10.1007/3-540-59286-5_83
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.52.1062
Classification by Selecting Plausible Formal Concepts in a Concept Lattice, Formal Concept Analysis meets Information Retrieval, pp.22-35, 2013. ,
Biclustering in data mining, Computers & Operations Research, vol.35, issue.9, pp.2964-2987, 2008. ,
DOI : 10.1016/j.cor.2007.01.005
Clustering bipartite graphs in terms of approximate formal concepts and sub-contexts, International Journal of Computational Intelligence Systems, vol.6, issue.6, pp.1125-1142, 2013. ,
DOI : 10.1080/18756891.2013.819179
URL : https://hal.archives-ouvertes.fr/hal-01127983
Clustering Sets of Objects Using Concepts-Objects Bipartite Graphs, Lecture Notes in Computer Science, vol.7520, pp.420-432, 2012. ,
DOI : 10.1007/978-3-642-33362-0_32
URL : https://hal.archives-ouvertes.fr/hal-00992046
Answer set programming at a glance, Communications of the ACM, vol.54, issue.12, pp.92-103, 2011. ,
DOI : 10.1145/2043174.2043195
Conflict-driven answer set solving: From theory to practice, Artificial Intelligence, vol.187, issue.188, pp.52-89, 2012. ,
DOI : 10.1016/j.artint.2012.04.001
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.303.5
Genome-wide Analysis of Substrate Specificities of the Escherichia coli Haloacid Dehalogenase-like Phosphatase Family, Journal of Biological Chemistry, vol.281, issue.47, pp.36149-36161, 2006. ,
DOI : 10.1074/jbc.M605449200
Human HAD phosphatases: structure, mechanism, and roles in health and disease, FEBS Journal, vol.14, issue.Pt 2, pp.549-571, 2013. ,
DOI : 10.1111/j.1742-4658.2012.08633.x
Computer Analysis of Bacterial Haloacid Dehalogenases Defines a Large Superfamily of Hydrolases with Diverse Specificity, Journal of Molecular Biology, vol.244, issue.1, pp.125-132, 1994. ,
DOI : 10.1006/jmbi.1994.1711
Evolutionary Genomics of the HAD Superfamily: Understanding the Structural Adaptations and Catalytic Diversity in a Superfamily of Phosphoesterases and Allied Enzymes, Journal of Molecular Biology, vol.361, issue.5, pp.1003-1034, 2006. ,
DOI : 10.1016/j.jmb.2006.06.049
Biocatalysis by Dehalogenating Enzymes, Advances in Applied Microbiology, vol.61, pp.233-252, 2007. ,
DOI : 10.1016/S0065-2164(06)61006-X
The Ectocarpus genome and the independent evolution of multicellularity in brown algae, Nature, vol.10, issue.7298, pp.617-621, 2010. ,
DOI : 10.1038/nature09016
URL : https://hal.archives-ouvertes.fr/cea-00906990