Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Andrew E. Webb"'
Autor:
Scott W. Wolf, Dee M. Ruttenberg, Daniel Y. Knapp, Andrew E. Webb, Ian M. Traniello, Grace C. McKenzie‐Smith, Sophie A. Leheny, Joshua W. Shaevitz, Sarah D. Kocher
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 10, Pp 2541-2548 (2023)
Abstract Significant advances in computational ethology have allowed the quantification of behaviour in unprecedented detail. Tracking animals in social groups, however, remains challenging as most existing methods can either capture pose or robustly
Externí odkaz:
https://doaj.org/article/87f915876d9447cfb6a678a1d71c8def
Autor:
Michael Keane, Jeremy Semeiks, Andrew E. Webb, Yang I. Li, Víctor Quesada, Thomas Craig, Lone Bruhn Madsen, Sipko van Dam, David Brawand, Patrícia I. Marques, Pawel Michalak, Lin Kang, Jong Bhak, Hyung-Soon Yim, Nick V. Grishin, Nynne Hjort Nielsen, Mads Peter Heide-Jørgensen, Elias M. Oziolor, Cole W. Matson, George M. Church, Gary W. Stuart, John C. Patton, J. Craig George, Robert Suydam, Knud Larsen, Carlos López-Otín, Mary J. O’Connell, John W. Bickham, Bo Thomsen, João Pedro de Magalhães
Publikováno v:
Cell Reports, Vol 10, Iss 1, Pp 112-122 (2015)
The bowhead whale (Balaena mysticetus) is estimated to live over 200 years and is possibly the longest-living mammal. These animals should possess protective molecular adaptations relevant to age-related diseases, particularly cancer. Here, we report
Externí odkaz:
https://doaj.org/article/5cb71fcc599b4343858c3cc10a216423
Publikováno v:
PeerJ Computer Science, Vol 3, p e118 (2017)
Background Large-scale molecular evolutionary analyses of protein coding sequences requires a number of preparatory inter-related steps from finding gene families, to generating alignments and phylogenetic trees and assessing selective pressure varia
Externí odkaz:
https://doaj.org/article/1987e4ef116b49c1ac4ffa0c1419b929
Autor:
Mark Lynch, Thomas A. Walsh, Izabela Marszalowska, Andrew E. Webb, Micheál Mac Aogáin, Thomas R. Rogers, Henry Windle, Dermot Kelleher, Mary J. O’Connell, Christine E. Loscher
Publikováno v:
BMC Evolutionary Biology, Vol 17, Iss 1, Pp 1-1 (2017)
Externí odkaz:
https://doaj.org/article/376babb2367140a086c042465202603c
Autor:
Beryl M. Jones, Benjamin E. R. Rubin, Olga Dudchenko, Callum J. Kingwell, Ian M. Traniello, Z. Yan Wang, Karen M. Kapheim, Eli S. Wyman, Per A. Adastra, Weijie Liu, Lance R. Parsons, S. RaElle Jackson, Katharine Goodwin, Shawn M. Davidson, Matthew J. McBride, Andrew E. Webb, Kennedy S. Omufwoko, Nikki Van Dorp, Mauricio Fernández Otárola, Melanie Pham, Arina D. Omer, David Weisz, Joshua Schraiber, Fernando Villanea, William T. Wcislo, Robert J. Paxton, Brendan G. Hunt, Erez Lieberman Aiden, Sarah D. Kocher
Publikováno v:
Nature Ecology & Evolution. 7:557-569
Autor:
Scott W. Wolf, Dee M. Ruttenberg, Daniel Y. Knapp, Andrew E. Webb, Ian M. Traniello, Grace C. McKenzie-Smith, Sophie A. Leheny, Joshua W. Shaevitz, Sarah D. Kocher
Significant advances in computational ethology have allowed the quantification of behavior in unprecedented detail. Tracking animals in social groups, however, remains challenging as most existing methods can either capture pose or robustly retain in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aec274dd6e32db4eb371ec143327750
https://doi.org/10.1101/2022.12.07.518416
https://doi.org/10.1101/2022.12.07.518416
Autor:
Nitesh Sabankar, Apeksha Sukesh Kallur, Jody Hey, Jared Knoblauch, Andrew E. Webb, Arun Sethuraman
Publikováno v:
Molecular Biology and Evolution
The Pop-Gen Pipeline Platform (PPP) is a software platform for population genomic analyses. The PPP was designed as a collection of scripts that facilitate common population genomic workflows in a consistent and standardized Python environment. Funct
Autor:
Edel M Hyland, Andrew E Webb, Kathy F Kennedy, Z Nevin Gerek Ince, Christine E Loscher, Mary J O’Connell
Publikováno v:
Hyland, E M, Webb, A E, Kennedy, K F, Gerek Ince, Z N, Loscher, C E & O'Connell, M J 2021, ' Adaptive Evolution in TRIF Leads to Discordance between Human and Mouse Innate Immune Signaling ', Genome biology and evolution, vol. 13, no. 12, evab268 . https://doi.org/10.1093/gbe/evab268
Genome Biology and Evolution
Genome Biology and Evolution
The TIR domain-containing adapter inducing IFN-β (TRIF) protein is an innate immune system protein that mediates the MyD88-independent toll-like receptor response pathway in mice and humans. Previously, we identified positive selection at seven dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b1da40d03b925496b9940bd3275e89b
https://nottingham-repository.worktribe.com/file/7345884/1/evab268
https://nottingham-repository.worktribe.com/file/7345884/1/evab268
Publikováno v:
Proc Natl Acad Sci U S A
Significance The ratio of the nonsynonymous codon-substitution rate to that for synonymous codons ( d N / d S ) is widely used to estimate the strength and direction of selection. However, many synonymous changes are under selection, particularly in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7051d3f4ad1f21c4f8e66fe505fc4f9
https://europepmc.org/articles/PMC8157954/
https://europepmc.org/articles/PMC8157954/
Autor:
Beryl M. Jones, Benjamin E.R. Rubin, Olga Dudchenko, Callum J. Kingwell, Ian M. Traniello, Z. Yan Wang, Karen M. Kapheim, Eli S. Wyman, Per A. Adastra, Weijie Liu, Lance R. Parsons, S. RaElle Jackson, Katharine Goodwin, Shawn M. Davidson, Matthew J. McBride, Andrew E. Webb, Kennedy S. Omufwoko, Nikki Van Dorp, Mauricio Fernández Otárola, Melanie Pham, Arina D. Omer, David Weisz, Joshua Schraiber, Fernando Villanea, William T. Wcislo, Robert J. Paxton, Brendan G. Hunt, Erez Lieberman Aiden, Sarah D. Kocher
Life’s most dramatic innovations, from the emergence of self-replicating molecules to highly-integrated societies, often involve increases in biological complexity. Some groups traverse different levels of complexity, providing a framework to ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa7dac7bedf2acf58097a4718e4b4b47
https://doi.org/10.1101/2021.04.14.439731
https://doi.org/10.1101/2021.04.14.439731