untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:28:39Z</responseDate> <request identifier=oai:HAL:hal-01053343v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01053343v1</identifier> <datestamp>2018-01-12</datestamp> <setSpec>type:UNDEFINED</setSpec> <setSpec>subject:math</setSpec> <setSpec>subject:sdv</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:UNICE</setSpec> <setSpec>collection:UNIV-PARIS7</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:CDF</setSpec> <setSpec>collection:INSMI</setSpec> <setSpec>collection:GIP-BE</setSpec> <setSpec>collection:EVOLUTION_PARIS_SEINE</setSpec> <setSpec>collection:UPMC</setSpec> <setSpec>collection:PMA</setSpec> <setSpec>collection:PSL</setSpec> <setSpec>collection:USPC</setSpec> <setSpec>collection:UPMC_POLE_1</setSpec> <setSpec>collection:UPMC_POLE_4</setSpec> <setSpec>collection:IBPS</setSpec> <setSpec>collection:UCA-TEST</setSpec> <setSpec>collection:UNIV-COTEDAZUR</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Sample genealogy and mutational patterns for critical branching populations</title> <creator>Achaz, G.</creator> <creator>Delaporte, C.</creator> <creator>Lambert, A.</creator> <contributor>Centre interdisciplinaire de recherche en biologie (CIRB) ; Collège de France (CdF) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Centre National de la Recherche Scientifique (CNRS)</contributor> <contributor>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)</contributor> <contributor>Atelier de BioInformatique (ABI) ; Université Pierre et Marie Curie - Paris 6 (UPMC)</contributor> <contributor>Laboratoire de Probabilités et Modèles Aléatoires (LPMA) ; Université Pierre et Marie Curie - Paris 6 (UPMC) - Université Paris Diderot - Paris 7 (UPD7) - Centre National de la Recherche Scientifique (CNRS)</contributor> <description>28 pages, 6 figures</description> <identifier>hal-01053343</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01053343</identifier> <source>https://hal.archives-ouvertes.fr/hal-01053343</source> <source>28 pages, 6 figures. 2014</source> <identifier>ARXIV : 1407.7720</identifier> <relation>info:eu-repo/semantics/altIdentifier/arxiv/1407.7720</relation> <language>en</language> <subject lang=en>critical birth-death process</subject> <subject lang=en>sampling</subject> <subject lang=en>coalescent point process</subject> <subject lang=en>site frequency spectrum</subject> <subject lang=en>infinite-site model</subject> <subject lang=en>Poisson point measure</subject> <subject lang=en>invariance principle</subject> <subject>92D10, 60J80 (Primary), 92D25, 60F17, 60G55, 60G57, 60J85 (Secondary)</subject> <subject>[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]</subject> <subject>[SDV.BID.EVO] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]</subject> <type>info:eu-repo/semantics/preprint</type> <type>Preprints, Working Papers, ...</type> <description lang=en>We study a universal object for the genealogy of a sample in populations with mutations: the critical birth-death process with Poissonian mutations, conditioned on its population size at a fixed time horizon. We show how this process arises as the law of the genealogy of a sample in a large class of critical branching populations with mutations at birth, namely populations converging, in a large population asymptotic, towards the continuum random tree. We extend this model to populations with random foundation times, with (potentially improper) prior distributions g_i: xmapsto x^{-i}, iinZ_+, including the so-called uniform (i=0) and log-uniform (i=1) priors. We first investigate the mutational patterns arising from these models, by studying the site frequency spectrum of a sample with fixed size, i.e. the number of mutations carried by k individuals in the sample. Explicit formulae for the expected frequency spectrum of a sample are provided, in the cases of a fixed foundation time, and of a uniform and log-uniform prior on the foundation time. Second, we establish the convergence in distribution, for large sample sizes, of the (suitably renormalized) tree spanned by the sample genealogy with prior g_i on the time of origin. We finally prove that the limiting genealogies with different priors can all be embedded in the same realization of a given Poisson point measure.</description> <date>2014-07-29</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>