Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Andrew J, Leigh Brown"'
Autor:
Steven Weaver, Vanessa M. Dávila Conn, Daniel Ji, Hannah Verdonk, Santiago Ávila-Ríos, Andrew J. Leigh Brown, Joel O. Wertheim, Sergei L. Kosakovsky Pond
Publikováno v:
Frontiers in Bioinformatics, Vol 4 (2024)
Molecular surveillance of viral pathogens and inference of transmission networks from genomic data play an increasingly important role in public health efforts, especially for HIV-1. For many methods, the genetic distance threshold used to connect se
Externí odkaz:
https://doaj.org/article/4224de6e5bd44b569093ce7fd9f1f999
Autor:
Heather E. Grant, Sunando Roy, Rachel Williams, Helena Tutill, Bridget Ferns, Patricia A. Cane, J. Wilson Carswell, Deogratius Ssemwanga, Pontiano Kaleebu, Judith Breuer, Andrew J. Leigh Brown
Publikováno v:
Retrovirology, Vol 19, Iss 1, Pp 1-10 (2022)
Abstract We present 109 near full-length HIV genomes amplified from blood serum samples obtained during early 1986 from across Uganda, which to our knowledge is the earliest and largest population sample from the initial phase of the HIV epidemic in
Externí odkaz:
https://doaj.org/article/b9ce012fa63f4886844455303bb654f5
Autor:
Hassan W. Kayondo, Alfred Ssekagiri, Grace Nabakooza, Nicholas Bbosa, Deogratius Ssemwanga, Pontiano Kaleebu, Samuel Mwalili, John M. Mango, Andrew J. Leigh Brown, Roberto A. Saenz, Ronald Galiwango, John M. Kitayimbwa
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-20 (2021)
Abstract Background Host population structure is a key determinant of pathogen and infectious disease transmission patterns. Pathogen phylogenetic trees are useful tools to reveal the population structure underlying an epidemic. Determining whether a
Externí odkaz:
https://doaj.org/article/f921303b4ec8402c97778b1b59c8ee53
Autor:
Ainur Sanaubarova, Emma Pujol-Hodge, Natalya Dzissyuk, Philippe Lemey, Sten H. Vermund, Andrew J. Leigh Brown, Syed Ali
Publikováno v:
Viruses, Vol 15, Iss 7, p 1407 (2023)
HIV incidence in Kazakhstan increased by 73% between 2010 and 2020, with an estimated 35,000 people living with HIV (PLHIV) in 2020. The development of antiretroviral drug resistance is a major threat to effective antiretroviral therapy (ART), yet st
Externí odkaz:
https://doaj.org/article/9f048c23a3d8434fbc83390d5e5ff673
Autor:
Emma Pujol-Hodge, Jesus F. Salazar-Gonzalez, Deogratius Ssemwanga, Edwin D. Charlebois, James Ayieko, Heather E. Grant, Teri Liegler, Katherine E. Atkins, Pontiano Kaleebu, Moses R. Kamya, Maya Petersen, Diane V. Havlir, Andrew J. Leigh Brown
Publikováno v:
Viruses, Vol 14, Iss 8, p 1673 (2022)
The Sustainable East Africa Research in Community Health (SEARCH) trial was a universal test-and-treat (UTT) trial in rural Uganda and Kenya, aiming to lower regional HIV-1 incidence. Here, we quantify breakthrough HIV-1 transmissions occurring durin
Externí odkaz:
https://doaj.org/article/3a26563fb65c4816806f3378346885d5
Autor:
Ali, Ainur Sanaubarova, Emma Pujol-Hodge, Natalya Dzissyuk, Philippe Lemey, Sten H. Vermund, Andrew J. Leigh Brown, Syed
Publikováno v:
Viruses; Volume 15; Issue 7; Pages: 1407
HIV incidence in Kazakhstan increased by 73% between 2010 and 2020, with an estimated 35,000 people living with HIV (PLHIV) in 2020. The development of antiretroviral drug resistance is a major threat to effective antiretroviral therapy (ART), yet st
Autor:
Gonzalo Yebra, Dan Frampton, Tiziano Gallo Cassarino, Jade Raffle, Jonathan Hubb, R Bridget Ferns, Laura Waters, C Y William Tong, Zisis Kozlakidis, Andrew Hayward, Paul Kellam, Deenan Pillay, Duncan Clark, Eleni Nastouli, Andrew J Leigh Brown, ICONIC Consortium
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0192081 (2018)
The ICONIC project has developed an automated high-throughput pipeline to generate HIV nearly full-length genomes (NFLG, i.e. from gag to nef) from next-generation sequencing (NGS) data. The pipeline was applied to 420 HIV samples collected at Univer
Externí odkaz:
https://doaj.org/article/a9f75c90552b4a0c8f70a86dbdd1233b
Autor:
Samuel Mwalili, Hassan W. Kayondo, Andrew J. Leigh Brown, Ronald Galiwango, John Magero Mango, Nicholas Bbosa, Roberto A. Saenz, Alfred Ssekagiri, Pontiano Kaleebu, John M Kitayimbwa, Grace Nabakooza, Deogratius Ssemwanga
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-20 (2021)
Kayondo, H W, Ssekagiri, A, Nabakooza, G, Bbosa, N, Ssemwanga, D, Kaleebu, P, Mwalili, S, Mango, J M, Leigh Brown, A J, Saenz, R A, Galiwango, R & Kitayimbwa, J M 2021, ' Employing phylogenetic tree shape statistics to resolve the underlying host population structure ', BMC Bioinformatics, vol. 22, no. 1, 546 . https://doi.org/10.1186/s12859-021-04465-1
BMC Bioinformatics
Kayondo, H W, Ssekagiri, A, Nabakooza, G, Bbosa, N, Ssemwanga, D, Kaleebu, P, Mwalili, S, Mango, J M, Leigh Brown, A J, Saenz, R A, Galiwango, R & Kitayimbwa, J M 2021, ' Employing phylogenetic tree shape statistics to resolve the underlying host population structure ', BMC Bioinformatics, vol. 22, no. 1, 546 . https://doi.org/10.1186/s12859-021-04465-1
BMC Bioinformatics
Background Host population structure is a key determinant of pathogen and infectious disease transmission patterns. Pathogen phylogenetic trees are useful tools to reveal the population structure underlying an epidemic. Determining whether a populati
Autor:
Stéphane Hué, Ting Shi, Andrew J. Leigh Brown, Sarah Langhorne, Damien C. Tully, Ch. Julián Villabona-Arenas, Jan Albert, James Baxter, Katherine E. Atkins
SummaryBackgroundHIV-1 infections initiated by multiple founder variants are characterised by a higher viral load and a worse clinical prognosis, yet little is known about the routes of exposure through which transmission of multiple founder variants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d3ebe956ef7fe5964e762cd0781234
https://doi.org/10.1101/2021.07.14.21259809
https://doi.org/10.1101/2021.07.14.21259809
Autor:
Emma Hodcroft, Jarrod D Hadfield, Esther Fearnhill, Andrew Phillips, David Dunn, Siobhan O'Shea, Deenan Pillay, Andrew J Leigh Brown, UK HIV Drug Resistance Database, UK CHIC Study
Publikováno v:
PLoS Pathogens, Vol 10, Iss 5, p e1004112 (2014)
Disease progression in HIV-infected individuals varies greatly, and while the environmental and host factors influencing this variation have been widely investigated, the viral contribution to variation in set-point viral load, a predictor of disease
Externí odkaz:
https://doaj.org/article/7ae06fb121e04d7289ac1c7d9c4dc792