Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Maxwell J. Farrell"'
Autor:
Tanya Strydom, Salomé Bouskila, Francis Banville, Ceres Barros, Dominique Caron, Maxwell J. Farrell, Marie‐Josée Fortin, Benjamin Mercier, Laura J. Pollock, Rogini Runghen, Giulio V. Dalla Riva, Timothée Poisot
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 12, Pp 2917-2930 (2023)
Abstract Metawebs (networks of potential interactions within a species pool) are a powerful abstraction to understand how large‐scale species interaction networks are structured. Because metawebs are typically expressed at large spatial and taxonom
Externí odkaz:
https://doaj.org/article/972b46184a5345c5908902156dd2145e
Autor:
Timothée Poisot, Marie-Andrée Ouellet, Nardus Mollentze, Maxwell J. Farrell, Daniel J. Becker, Liam Brierley, Gregory F. Albery, Rory J. Gibb, Stephanie N. Seifert, Colin J. Carlson
Publikováno v:
Patterns, Vol 4, Iss 6, Pp 100738- (2023)
Summary: Predicting host-virus interactions is fundamentally a network science problem. We develop a method for bipartite network prediction that combines a recommender system (linear filtering) with an imputation algorithm based on low-rank graph em
Externí odkaz:
https://doaj.org/article/e02f1f1e867240659707eee8533d0e1b
Autor:
Colin J. Carlson, Rory J. Gibb, Gregory F. Albery, Liam Brierley, Ryan P. Connor, Tad A. Dallas, Evan A. Eskew, Anna C. Fagre, Maxwell J. Farrell, Hannah K. Frank, Renata L. Muylaert, Timothée Poisot, Angela L. Rasmussen, Sadie J. Ryan, Stephanie N. Seifert
Publikováno v:
mBio, Vol 13, Iss 2 (2022)
ABSTRACT Data that catalogue viral diversity on Earth have been fragmented across sources, disciplines, formats, and various degrees of open sharing, posing challenges for research on macroecology, evolution, and public health. Here, we solve this pr
Externí odkaz:
https://doaj.org/article/f66f1f94a3544e5b9c82229fe4695bb9
Publikováno v:
Royal Society Open Science, Vol 4, Iss 12 (2017)
Languages are being lost at rates exceeding the global loss of biodiversity. With the extinction of a language we lose irreplaceable dimensions of culture and the insight it provides on human history and the evolution of linguistic diversity. When se
Externí odkaz:
https://doaj.org/article/740c1b973a734b07970bbe52563aa40a
Autor:
Tanya Strydom, Salomé Bouskila, Francis Banville, Ceres Barros, Dominique Caron, Maxwell J. Farrell, Marie‐Josée Fortin, Victoria Hemming, Benjamin Mercier, Laura J. Pollock, Rogini Runghen, Giulio V. Dalla Riva, Timothée Poisot
Publikováno v:
Methods in Ecology and Evolution. 13:2838-2849
Autor:
Courtney S. Werner, Koray Kasan, Julie K. Geyer, Mohamad Elmasri, Maxwell J. Farrell, Charles L. Nunn
Objectives The ongoing risk of emerging infectious disease has renewed calls for understanding the origins of zoonoses and identifying future zoonotic disease threats. Given their close phylogenetic relatedness and geographic overlap with humans, non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8d63c39cb7254395d2de65f08840acb
http://hdl.handle.net/20.500.12645/30986
http://hdl.handle.net/20.500.12645/30986
Publikováno v:
Proceedings of the Royal Society B: Biological Sciences. 289(1975)
Ecology and evolutionary biology, like other scientific fields, are experiencing an exponential growth of academic manuscripts. As domain knowledge accumulates, scientists will need new computational approaches for identifying relevant literature to
Autor:
Maxwell J. Farrell, Daniella LoScerbo, Jean-Philippe Lessard, Julie Arrowsmith, Julia J. Mlynarek
Publikováno v:
Functional Ecology. 34:2477-2487
Autor:
Daniel J Becker, Gregory F Albery, Anna R Sjodin, Timothée Poisot, Laura M Bergner, Binqi Chen, Lily E Cohen, Tad A Dallas, Evan A Eskew, Anna C Fagre, Maxwell J Farrell, Sarah Guth, Barbara A Han, Nancy B Simmons, Michiel Stock, Emma C Teeling, Colin J Carlson
Publikováno v:
LANCET MICROBE
The Lancet. Microbe
The Lancet. Microbe
Despite the global investment in One Health disease surveillance, it remains difficult and costly to identify and monitor the wildlife reservoirs of novel zoonotic viruses. Statistical models can guide sampling target prioritisation, but the predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33aac0f1987cf3f4a9035b585abd6c7c
https://biblio.ugent.be/publication/01GVZ5XQMGWKXNCAH73SG9XY03
https://biblio.ugent.be/publication/01GVZ5XQMGWKXNCAH73SG9XY03
Autor:
Timothée Poisot, Angela L. Rasmussen, Benjamin A. Neely, Sadie J. Ryan, Rebecca C. Christofferson, Stephanie N. Seifert, Liam Brierley, Erin M. Sorrell, Anna R Sjodin, Maxwell J. Farrell, Evan A. Eskew, Emma E. Glennon, Nardus Mollentze, Cara E. Brook, Gregory F. Albery, Daniel J. Becker, Maxwell B. Joseph, Lily E. Cohen, Anna C. Fagre, Colin J. Carlson, Sarah Guth, Tad A. Dallas
Publikováno v:
Nature Microbiology
Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b756f3e4d8de94b2cca7eab89770e5d1
https://eprints.gla.ac.uk/259450/2/259450.pdf
https://eprints.gla.ac.uk/259450/2/259450.pdf