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<identifier>oai:HAL:hal-01544804v1</identifier>
<datestamp>2018-01-11</datestamp>
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<title lang=en>Evolution of genetic diversity using networks: the human gut microbiome as a case study</title>
<creator>Bapteste, E.</creator>
<creator>Bicep, C.</creator>
<creator>Lopez, P.</creator>
<contributor>Adaptation, Intégration, Réticulation et Evolution (AIRE) ; Systématique, adaptation, évolution (SAE) ; Université Pierre et Marie Curie - Paris 6 (UPMC) - Centre National de la Recherche Scientifique (CNRS) - Université Pierre et Marie Curie - Paris 6 (UPMC) - Centre National de la Recherche Scientifique (CNRS) - Evolution Paris Seine ; Université Nice Sophia Antipolis (UNS) ; Université Côte d'Azur (UCA) - Université Côte d'Azur (UCA) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Université Pierre et Marie Curie - Paris 6 (UPMC) - Université Nice Sophia Antipolis (UNS) ; Université Côte d'Azur (UCA) - Université Côte d'Azur (UCA) - Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>ISSN: 1198-743X</source>
<source>EISSN: 1469-0691</source>
<source>Clinical Microbiology and Infection</source>
<publisher>Wiley</publisher>
<identifier>hal-01544804</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01544804</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01544804</source>
<source>Clinical Microbiology and Infection, Wiley, 2012, 18 (4, SI), pp.40-43. 〈10.1111/j.1469-0691.2012.03856.x〉</source>
<identifier>DOI : 10.1111/j.1469-0691.2012.03856.x</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1469-0691.2012.03856.x</relation>
<language>en</language>
<subject lang=en>Evolution</subject>
<subject lang=en> exploratory science</subject>
<subject lang=en> genetic diversity</subject>
<subject lang=en> microbiome</subject>
<subject lang=en> network</subject>
<subject>[SDV.BID] Life Sciences [q-bio]/Biodiversity</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Clin Microbiol Infect 2012; 18 (Suppl. 4): 4043 Abstract In order to study complex microbial communities and their associated mobile genetic elements, such as the human gut microbiome, evolutionists could explore their genetic diversity with shared sequence networks. In particular, the detection of remarkable structures in gene networks of the gut microbiome could serve to identify important functions within the community, and would ease comparison of data sets from microbiomes of various sources (human, ape, mouse etc.) in a single analysis.</description>
<date>2012-07</date>
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