Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jonathan, Terhorst"'
Autor:
Yifan Jin, Jonathan Terhorst
Publikováno v:
Algorithms for Molecular Biology, Vol 18, Iss 1, Pp 1-15 (2023)
Abstract The Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of oth
Externí odkaz:
https://doaj.org/article/3a03fcd2395c42208a1ef5d54bd96b1e
Autor:
Iain Mathieson, Jonathan Terhorst
Publikováno v:
Genome Research. 32:2057-2067
We developed a novel method for efficiently estimating time-varying selection coefficients from genome-wide ancient DNA data. In simulations, our method accurately recovers selective trajectories, and is robust to mis-specification of population size
Autor:
Brandon Legried, Jonathan Terhorst
Publikováno v:
Theoretical Population Biology. 147:16-27
A number of powerful demographic inference methods have been developed in recent years, with the goal of fitting rich evolutionary models to genetic data obtained from many populations. In this paper we investigate the statistical performance of thes
Autor:
Jonathan Terhorst, Brandon Legried
Recent theoretical work on phylogenetic birth-death models offers differing viewpoints on whether they can be estimated using lineage-through-time data. Louca and Pennell (2020) showed that the class of models with continuously differentiable rate fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bea4e9bd761fa87b14f06d7d4dc9ee4
https://doi.org/10.1101/2022.08.26.505438
https://doi.org/10.1101/2022.08.26.505438
Autor:
Yifan Jin, Jonathan Terhorst
The Li-Stephens (LS) haplotype copying model forms the basis of a number of important statistical inference procedures in genetics. LS is a probabilistic generative model which supposes that a sampled chromosome is an imperfect mosaic of other chromo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5691d451ff51ed588557ce0963a26bf2
https://doi.org/10.1101/2022.08.03.502674
https://doi.org/10.1101/2022.08.03.502674
Autor:
Jonathan Terhorst, Caleb Ki
Publikováno v:
Molecular Biology and Evolution. 39
The ongoing global pandemic has sharply increased the amount of data available to researchers in epidemiology and public health. Unfortunately, few existing analysis tools are capable of exploiting all of the information contained in a pandemic-scale
Autor:
Shaohua Fan, Jeffrey P. Spence, Yuanqing Feng, Matthew E.B. Hansen, Jonathan Terhorst, Marcia H. Beltrame, Alessia Ranciaro, Jibril Hirbo, William Beggs, Neil Thomas, Thomas Nyambo, Sununguko Wata Mpoloka, Gaonyadiwe George Mokone, Alfred K. Njamnshi, Charles Fokunang, Dawit Wolde Meskel, Gurja Belay, Yun S. Song, Sarah A. Tishkoff
Publikováno v:
Cell. 186:923-939.e14
Autor:
Jonathan Terhorst, Enes Dilber
Publikováno v:
Genetics
Neutrality tests such as Tajima’s D and Fay and Wu’s H are standard implements in the population genetics toolbox. One of their most common uses is to scan the genome for signals of natural selection. However, it is well understood that D and H a
We present new models and methods for the posterior drift problem where the regression function in the target domain is modelled as a linear adjustment, on an appropriate scale, of that in the source domain, and study the theoretical properties of ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a79e8ca9d6bda4e113395a3bc935de0e
http://arxiv.org/abs/2111.10841
http://arxiv.org/abs/2111.10841
Autor:
Jonathan Terhorst, Brandon Legried
In a striking result, Louca and Pennell (2020) recently proved that a large class of phylogenetic birth-death models are statistically unidentifiable from lineage-through-time (LTT) data: any pair of sufficiently smooth birth and death rate functions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296eb8b6335b7468f8e7184b2280e829
https://doi.org/10.1101/2021.10.04.463015
https://doi.org/10.1101/2021.10.04.463015