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相关论文: Can one hear the shape of a population history?

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Recovery of population size history from molecular sequence data is an important problem in population genetics. Inference commonly relies on a coalescent model linking the population size history to genealogies. The high computational cost…

统计理论 · 数学 2018-01-17 James E. Johndrow , Julia A. Palacios

Most species are structured and influenced by processes that either increased or reduced gene flow between populations. However, most population genetic inference methods ignore population structure and reconstruct a history characterized…

种群与进化 · 定量生物学 2015-11-10 Olivier Mazet , Willy Rodríguez , Simona Grusea , Simon Boitard , Lounès Chikhi

Genomic data can be used to reconstruct population size over thousands of generations, using a new class of algorithms (SMC methods). These analyses often show a recent decline in $N_e$ (effective size), which at face value implies a…

种群与进化 · 定量生物学 2025-04-15 Janeesh K. Bansal , Richard A. Nichols

Coalescent theory combined with statistical modeling allows us to estimate effective population size fluctuations from molecular sequences of individuals sampled from a population of interest. When sequences are sampled serially through…

种群与进化 · 定量生物学 2021-11-02 Michael D. Karcher , Marc A. Suchard , Gytis Dudas , Vladimir N. Minin

Studying how diverse human populations are related is of historical and anthropological interest, in addition to providing a realistic null model for testing for signatures of natural selection or disease associations. Furthermore,…

种群与进化 · 定量生物学 2018-07-10 Jeffrey P. Spence , Matthias Steinrücken , Jonathan Terhorst , Yun S. Song

Many population genetic models have been developed for the purpose of inferring population size and growth rates from random samples of genetic data. We examine two popular approaches to this problem, the coalescent and the…

种群与进化 · 定量生物学 2014-08-29 Erik M. Volz , Simon DW Frost

Reconstruction of population histories is a central problem in population genetics. Existing coalescent-based methods, like the seminal work of Li and Durbin (Nature, 2011), attempt to solve this problem using sequence data but have no…

种群与进化 · 定量生物学 2020-05-11 Younhun Kim , Frederic Koehler , Ankur Moitra , Elchanan Mossel , Govind Ramnarayan

Samples of multiple complete genome sequences contain vast amounts of information about the evolutionary history of populations, much of it in the associations among polymorphisms at different loci. Current methods that take advantage of…

种群与进化 · 定量生物学 2016-11-08 Daniel B. Weissman , Oskar Hallatschek

The rapid development of sequencing technologies represents new opportunities for population genetics research. It is expected that genomic data will increase our ability to reconstruct the history of populations. While this increase in…

种群与进化 · 定量生物学 2014-12-04 Olivier Mazet , Willy Rodríguez , Lounès Chikhi

Effective population size characterizes the genetic variability in a population and is a parameter of paramount importance in population genetics. Kingman's coalescent process enables inference of past population dynamics directly from…

统计方法学 · 统计学 2016-01-20 Mandev S. Gill , Philippe Lemey , Shannon N. Bennett , Roman Biek , Marc A. Suchard

In mathematical population genetics, it is well known that one can represent the genealogy of a population by a tree, which indicates how the ancestral lines of individuals in the population coalesce as they are traced back in time. As the…

概率论 · 数学 2014-02-20 Götz Kersting , Jason Schweinsberg , Anton Wakolbinger

We propose in this article a brief description of the work, over almost a decade, resulting from a collaboration between mathematicians and biologists from four different research laboratories, identifiable as the co-authors of the articles…

种群与进化 · 定量生物学 2023-05-30 Olivier Mazet , Camille Noûs

Human populations have a complex history of introgression and of changing population size. Human genetic variation has been affected by both these processes, so that inference of past population size depends upon the pattern of gene flow…

种群与进化 · 定量生物学 2017-03-29 John Hawks

Consider a population of fixed size that evolves over time. At each time, the genealogical structure of the population can be described by a coalescent tree whose branches are traced back to the most recent common ancestor of the…

概率论 · 数学 2011-12-14 Jason Schweinsberg

If one goes backward in time, the number of ancestors of an individual doubles at each generation. This exponential growth very quickly exceeds the population size, when this size is finite. As a consequence, the ancestors of a given…

生物物理 · 物理学 2007-05-23 B. Derrida , S. C. Manrubia , D. H. Zanette

What is a population? This review considers how a population may be defined in terms of understanding the structure of the underlying genetics of the individuals involved. The main approach is to consider statistically identifiable groups…

种群与进化 · 定量生物学 2013-06-05 Daniel John Lawson

Changes in population size influence genetic diversity of the population and, as a result, leave a signature of these changes in individual genomes in the population. We are interested in the inverse problem of reconstructing past…

统计方法学 · 统计学 2015-03-19 Julia A. Palacios , Vladimir N. Minin

We establish convergence to the Kingman coalescent for a class of age-structured population models with time-constant population size. Time is discrete with unit called a year. Offspring numbers in a year may depend on mother's age.

概率论 · 数学 2007-05-23 Serik Sagitov , Peter Jagers

We consider a model of a population of fixed size $N$ undergoing selection. Each individual acquires beneficial mutations at rate $\mu_N$, and each beneficial mutation increases the individual's fitness by $s_N$. Each individual dies at…

概率论 · 数学 2015-07-03 Jason Schweinsberg

The COVID-19 pandemic demonstrated that fast and accurate analysis of continually collected infectious disease surveillance data is crucial for situational awareness and policy making. Coalescent-based phylodynamic analysis can use genetic…

统计方法学 · 统计学 2024-07-29 Catalina M. Medina , Julia A. Palacios , Volodymyr M. Minin
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