Zobrazeno 1 - 10
of 103
pro vyhledávání: '"John P. Huelsenbeck"'
Publikováno v:
PeerJ, Vol 9, p e12438 (2021)
In Bayesian phylogenetic inference, marginal likelihoods can be estimated using several different methods, including the path-sampling or stepping-stone-sampling algorithms. Both algorithms are computationally demanding because they require a series
Externí odkaz:
https://doaj.org/article/f0d5f15a6f444068a4bc767018c0774d
Publikováno v:
Evolutionary Bioinformatics, Vol 2011, Iss 7, Pp 55-59 (2011)
Externí odkaz:
https://doaj.org/article/11deab73d3424b59adaf60778fdd441c
Autor:
Rewaa S. Jalal, Firoz Ahmed, Nabih A. Baeshen, Aala A. Abulfaraj, Mohamed N Baeshen, Samah Omar Noor, John P. Huelsenbeck, Tarek A. A. Moussa
Publikováno v:
Applied Ecology and Environmental Research. 19:1753-1782
Autor:
Ahmed M. Al Hejin, Mohammed N. Baeshen, Rewaa S. Jalal, Refaei M. Hussein, Samah Omar Noor, John P. Huelsenbeck, Aala A. Abulfaraj, Nabih A. Baeshen, Dhafer A. Al Zahrani, Mazen A. Majeed
Publikováno v:
Journal of Pharmaceutical Research International. :88-98
Rhazya stricta is an important medicinal plant used as native herbal drug to cure various diseases across Asia. Plant-microbe interactions represented by different environment abiotic stress factors that shows effects also on the host plants or on th
Autor:
Samah Omar Noor, Dhafer A. Alzahrani, Salah E. M. Abo-Aba, Tarek A. A. Moussa, Refaei M. Hussein, Nabih A. Baeshen, Mohammed N. Baeshen, Ahmed M. Al-Hejin, John P. Huelsenbeck
Publikováno v:
Archives of Microbiology. 203:1211-1219
This study aimed to compare the fungal rhizosphere communities of Rhazya stricta, Enneapogon desvauxii, Citrullus colocynthis, Senna italica, and Zygophyllum simplex, and the gut mycobiota of Poekilocerus bufonius (Orthoptera, Pyrgomorphidae, "Usherh
Autor:
Mohamed N Baeshen, Firoz Ahmed, Aala A. Abulfaraj, Nabih A. Baeshen, John P. Huelsenbeck, Rewaa S. Jalal, Mazen A Majeed, Tarek A. A. Moussa
Publikováno v:
Applied Ecology and Environmental Research. 18:8217-8231
Publikováno v:
Systematic Biology
Sampling across tree space is one of the major challenges in Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) algorithms. Standard MCMC tree moves consider small random perturbations of the topology, and select from candidate tre
Autor:
Bastien Boussau, Zaak Walton, Juan A Delgado, Francisco Collantes, Laura Beani, Isaac J Stewart, Sydney A Cameron, James B Whitfield, J Spencer Johnston, Peter W H Holland, Doris Bachtrog, Jeyaraney Kathirithamby, John P Huelsenbeck
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e107709 (2014)
Insect phylogeny has recently been the focus of renewed interest as advances in sequencing techniques make it possible to rapidly generate large amounts of genomic or transcriptomic data for a species of interest. However, large numbers of markers ar
Externí odkaz:
https://doaj.org/article/df64a93972cd426ba738dd475f0e5de1
Publikováno v:
Molecular biology and evolution, vol 38, iss 4
Molecular Biology and Evolution
Pipes, L, Wang, H, Huelsenbeck, J P & Nielsen, R 2021, ' Assessing Uncertainty in the Rooting of the SARS-CoV-2 Phylogeny ', Molecular Biology and Evolution, vol. 38, no. 4, pp. 1537-1543 . https://doi.org/10.1093/molbev/msaa316
Molecular Biology and Evolution
Pipes, L, Wang, H, Huelsenbeck, J P & Nielsen, R 2021, ' Assessing Uncertainty in the Rooting of the SARS-CoV-2 Phylogeny ', Molecular Biology and Evolution, vol. 38, no. 4, pp. 1537-1543 . https://doi.org/10.1093/molbev/msaa316
The rooting of the SARS-CoV-2 phylogeny is important for understanding the origin and early spread of the virus. Previously published phylogenies have used different rootings that do not always provide consistent results. We investigate several diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::effccf633a2eae727c61cc08b75a6abc
https://escholarship.org/uc/item/6vx9w03p
https://escholarship.org/uc/item/6vx9w03p
Publikováno v:
Biology of Echinodermata
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45dfe1d3249a894eafc8fc25efd903e5
https://doi.org/10.1201/9781003077565-81
https://doi.org/10.1201/9781003077565-81