Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Thibaut Paul Patrick Sellinger"'
Publikováno v:
PLoS Genetics, Vol 17, Iss 4, p e1009504 (2021)
[This corrects the article DOI: 10.1371/journal.pgen.1008698.].
Externí odkaz:
https://doaj.org/article/0f0a2430bb5b47fd8b552f3c2b697d0c
Inference of past demography, dormancy and self-fertilization rates from whole genome sequence data.
Publikováno v:
PLoS Genetics, Vol 16, Iss 4, p e1008698 (2020)
Several methods based on the Sequential Markovian coalescence (SMC) have been developed that make use of genome sequence data to uncover population demographic history, which is of interest in its own right and is a key requirement to generate a null
Externí odkaz:
https://doaj.org/article/a305d3c76c324ec590358091481e3593
Autor:
Castedo E. Ellerman, Kevin R. Thornton, Daniel Goldstein, Simon Gravel, Jared Galloway, Jere Koskela, Andrew D. Kern, Graham Gower, Ariella L. Gladstein, Nathaniel S. Pope, Gregor Gorjanc, Franz Baumdicker, Gertjan Bisschop, Dominic Nelson, Georgia Tsambos, Bjarki Eldon, Michael Matschiner, Aaron P. Ragsdale, Thibaut Paul Patrick Sellinger, Peter L. Ralph, H. Yan Wong, Anthony Wilder Wohns, Jerome Kelleher, Kumar Saunack, Murillo F. Rodrigues, Sha Zhu, Warren W. Kretzschmar, Bing Guo, Ben Jeffery, Konrad Lohse, Hugo van Kemenade, Consuelo D. Quinto-Cortés
Stochastic simulation is a key tool in population genetics, since the models involved are often analytically intractable and simulation is usually the only way of obtaining ground-truth data to evaluate inferences. Because of this necessity, a large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79fb7a04db84d551d91aa4848f5f789c
https://doi.org/10.1101/2021.08.31.457499
https://doi.org/10.1101/2021.08.31.457499
Several methods based on the sequentially Markovian coalescent (SMC) make use of full genome sequence data from samples to infer population demographic history including past changes in population size, admixture, migration events and population stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93259885ae53ca6aa9aa7b0c577245db
https://mediatum.ub.tum.de/1634286
https://mediatum.ub.tum.de/1634286
Publikováno v:
PLoS Genetics, Vol 16, Iss 4, p e1008698 (2020)
PLoS Genetics
PLoS Genetics
Several methods based on the Sequential Markovian coalescence (SMC) have been developed that make use of genome sequence data to uncover population demographic history, which is of interest in its own right and is a key requirement to generate a null
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70bebf04cde8ef7ffab1b7db5762e83d
https://mediatum.ub.tum.de/1609719
https://mediatum.ub.tum.de/1609719
Publikováno v:
Mathematical biosciences. 318
Despite the wealth of empirical and theoretical studies, the origin and maintenance of cooperation is still an evolutionary riddle. In this context, ecological life-history traits which affect the efficiency of selection may play a role despite being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd27ca90ea783dc0dd94ad6f6f5e5d4
https://pubmed.ncbi.nlm.nih.gov/31647933
https://pubmed.ncbi.nlm.nih.gov/31647933
Publikováno v:
PLoS Genetics, Vol 17, Iss 4, p e1009504 (2021)
[This corrects the article DOI: 10.1371/journal.pgen.1008698.].
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a86a291f8c6ec81e4522c5d96b173c
https://doi.org/10.1371/journal.pgen.1009504
https://doi.org/10.1371/journal.pgen.1009504