Abstract Reconstructing past population size from present day genetic data is a major goal of population genetics. Recent empirical studies infer population size history using coalescent-based models applied to a small number of individuals. Here we provide tight bounds on the amount of exact coalescence time data needed to recover the population size history of a single, panmictic population at a certain level of accuracy. In practice, coalescence times are estimated from sequence data and so our lower bounds should be taken as rather conservative.
%0 Journal Article
%1 kim2015shape
%A Kim, Junhyong
%A Mossel, Elchanan
%A Rácz, Miklós Z.
%A Ross, Nathan
%D 2015
%J Theoretical Population Biology
%K coalescent_theory demographic_inference reconstruction_bound sample_size
%P 26 - 38
%R http://dx.doi.org/10.1016/j.tpb.2014.12.002
%T Can one hear the shape of a population history?
%U http://www.sciencedirect.com/science/article/pii/S0040580914000987
%V 100
%X Abstract Reconstructing past population size from present day genetic data is a major goal of population genetics. Recent empirical studies infer population size history using coalescent-based models applied to a small number of individuals. Here we provide tight bounds on the amount of exact coalescence time data needed to recover the population size history of a single, panmictic population at a certain level of accuracy. In practice, coalescence times are estimated from sequence data and so our lower bounds should be taken as rather conservative.
@article{kim2015shape,
abstract = {Abstract Reconstructing past population size from present day genetic data is a major goal of population genetics. Recent empirical studies infer population size history using coalescent-based models applied to a small number of individuals. Here we provide tight bounds on the amount of exact coalescence time data needed to recover the population size history of a single, panmictic population at a certain level of accuracy. In practice, coalescence times are estimated from sequence data and so our lower bounds should be taken as rather conservative. },
added-at = {2016-05-18T14:57:22.000+0200},
author = {Kim, Junhyong and Mossel, Elchanan and Rácz, Miklós Z. and Ross, Nathan},
biburl = {https://www.bibsonomy.org/bibtex/2c8adf7f3a9bc82c4334a70576d5f6b1b/peter.ralph},
doi = {http://dx.doi.org/10.1016/j.tpb.2014.12.002},
interhash = {06182aeae782d498af25514f170bf817},
intrahash = {c8adf7f3a9bc82c4334a70576d5f6b1b},
issn = {0040-5809},
journal = {Theoretical Population Biology },
keywords = {coalescent_theory demographic_inference reconstruction_bound sample_size},
pages = {26 - 38},
timestamp = {2016-05-18T14:57:22.000+0200},
title = {Can one hear the shape of a population history? },
url = {http://www.sciencedirect.com/science/article/pii/S0040580914000987},
volume = 100,
year = 2015
}