Zobrazeno 1 - 5
of 5
pro vyhledávání: '"John H. Tay"'
Autor:
Atlesh Sudhakar, Donald Wilson, Rachel Devi, Dashika Anshu Balak, Jenni Singh, Kesaia Tuidraki, Lavenia Gaunavinaka, Waisale Turuva, Taina Naivalu, Blair Lawley, John H. Tay, Francesca Di Giallonardo, Sebastian Duchene, Jemma L. Geoghegan
Publikováno v:
npj Viruses, Vol 2, Iss 1, Pp 1-6 (2024)
Abstract Very little is known about the HIV-1 epidemic in Fiji, nor the wider South Pacific region more generally, yet new reported HIV-1 infections are on the rise. As of 2023, there are an estimated 2000 cases of HIV-1 in Fiji with heterosexual con
Externí odkaz:
https://doaj.org/article/70cf99cf55784635bf5f9b2fa320f614
Publikováno v:
Molecular Biology and Evolution
The ongoing SARS-CoV-2 pandemic has seen an unprecedented amount of rapidly generated genome data. These data have revealed the emergence of lineages with mutations associated to transmissibility and antigenicity, known as variants of concern (VOCs).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8438ed34092cb9933d550b22f286d970
https://doi.org/10.1093/molbev/msac013
https://doi.org/10.1093/molbev/msac013
The ongoing SARS-CoV-2 pandemic has seen an unprecedented amount of rapidly generated genome data. These data have revealed the emergence of lineages with mutations associated to transmissibility and antigenicity, known as variants of concern (VOCs).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81858e76709da792e9f1fa9521809f8c
https://doi.org/10.1101/2021.08.29.21262799
https://doi.org/10.1101/2021.08.29.21262799
Autor:
John H Tay, Anthony T.H. Chin
Publikováno v:
Journal of Air Transport Management. 7:319-330
The investment decisions and profitability of airlines encompasses elements such as air traffic forecasting, the cycles of orders and deliveries, profit cycles, airline growth and survivability in Asia. Regression analysis showed that air traffic gro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebfd3cd25b113cc28792bd624dcb09d4
https://doi.org/10.1016/s0969-6997(01)00026-6
https://doi.org/10.1016/s0969-6997(01)00026-6
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 11, p e1012371 (2024)
Our understanding of the evolution of many microbes has been revolutionised by the molecular clock, a statistical tool to infer evolutionary rates and timescales from analyses of biomolecular sequences. In all molecular clock models, evolutionary rat
Externí odkaz:
https://doaj.org/article/20082bdbe0ee4c5fa0bc323073dab4dd