Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Thomas R. Meagher"'
Autor:
Edward J. Martin, Shelly Knotts, Michelle Phillips, Nicholas Weise, Thomas R. Meagher, Daniel Barker
Publikováno v:
Evolution: Education and Outreach, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Background A major challenge of evolutionary biology is making underlying concepts accessible to wide audiences. One method for doing so is to utilise multi-media formats that have potential to engage and inform through entertainment. This p
Externí odkaz:
https://doaj.org/article/2355ae3801dd4de5bf2322fb421bf329
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background The use of sound to represent sequence data—sonification—has great potential as an alternative and complement to visual representation, exploiting features of human psychoacoustic intuitions to convey nuance more effectively.
Externí odkaz:
https://doaj.org/article/1274c21ba6ce46cd8b141cd4179fe1df
Publikováno v:
BMC Research Notes, Vol 14, Iss 1, Pp 1-4 (2021)
Abstract Objective Visualisation methods, primarily color-coded representation of sequence data, have been a predominant means of representation of DNA data. Algorithmic conversion of DNA sequence data to sound—sonification—represents an alternat
Externí odkaz:
https://doaj.org/article/8c406bf5e8b44161b542fe6c4d4b3675
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
Old, climate-buffered infertile landscapes (Ocbils) have attracted increasing levels of interest in recent years because of their exceptionally diverse plant communities. Brazil’s campos rupestres (rupestrian grasslands) are home to almost 15% of B
Externí odkaz:
https://doaj.org/article/d143489c8f5a4d5c87434c02a1bc306f
Publikováno v:
Global Ecology and Conservation, Vol 2, Iss , Pp 81-87 (2014)
The best known system for classifying threat status of species, the IUCN Red List, currently lacks explicit considerations of genetic diversity, and consequently may not account for potential adaptation of species to future environmental change. To a
Externí odkaz:
https://doaj.org/article/3750a4010f7b4ce0b21ef330da293fec
Autor:
Thomas R. Meagher
Publikováno v:
Evolutionary Studies in Imaginative Culture. 4:183-186
Autor:
Stevie A. Bain, Heleen Plaisier, Felicity Anderson, Nicola Cook, Kathryn Crouch, Thomas R. Meagher, Michael G. Ritchie, Edward W. J. Wallace, Daniel Barker
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 18, Iss 1, p e1009705 (2022)
Bain, S, Plaisier, H, Anderson, F, Cook, N, Crouch, K, Meagher, T R, Ritchie, M, Wallace, E W J & Barker, D 2022, ' Bringing bioinformatics to schools with the 4273pi project ', PLoS Computational Biology, vol. 18, no. 1, e1009705 . https://doi.org/10.1371/journal.pcbi.1009705
PLoS Computational Biology, Vol 18, Iss 1, p e1009705 (2022)
Bain, S, Plaisier, H, Anderson, F, Cook, N, Crouch, K, Meagher, T R, Ritchie, M, Wallace, E W J & Barker, D 2022, ' Bringing bioinformatics to schools with the 4273pi project ', PLoS Computational Biology, vol. 18, no. 1, e1009705 . https://doi.org/10.1371/journal.pcbi.1009705
The work was supported by the Science and Technology Facilities Council (STFC) under Grants STFC ST/R000328/1 (including salary to S.A.B., D.B., H.P., T.R.M. and non-salary costs) and STFC ST/T000872/1 (including salary to S.A.B., D.B., K.C., T.R.M.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5065b193fe573ec1ad2b51aefbf473b3
https://hdl.handle.net/10023/24810
https://hdl.handle.net/10023/24810
Publikováno v:
Martin, E J, Meagher, T R & Barker, D 2021, ' Using sound to understand protein sequence data : New sonification algorithms for protein sequences and multiple sequence alignments ', BMC Bioinformatics, vol. 22, 456 . https://doi.org/10.1186/s12859-021-04362-7
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
BMC Bioinformatics
Background The use of sound to represent sequence data—sonification—has great potential as an alternative and complement to visual representation, exploiting features of human psychoacoustic intuitions to convey nuance more effectively. We have c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3ece99a68e3dad6b11bb4af8f139163
https://hdl.handle.net/20.500.11820/efb8ed58-f21c-4380-a882-d018de67ac67
https://hdl.handle.net/20.500.11820/efb8ed58-f21c-4380-a882-d018de67ac67
Autor:
Jill S. Baron, Jean Paul Metzger, Louis J. Gross, Marten Winter, Benjamin S. Halpern, Diane S. Srivastava, Nicolas Mouquet, Valério D. Pillar, Thomas R. Meagher
Publikováno v:
Nature Ecology & Evolution
Nature Ecology & Evolution, Nature, 2021, 5 (9), pp.1188-1189. ⟨10.1038/s41559-021-01521-0⟩
Nature Ecology & Evolution (2397-334X) (Springer Science and Business Media LLC), 2021-09, Vol. 5, N. 9, P. 1188-1189
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Nature Ecology & Evolution, Nature, 2021, 5 (9), pp.1188-1189. ⟨10.1038/s41559-021-01521-0⟩
Nature Ecology & Evolution (2397-334X) (Springer Science and Business Media LLC), 2021-09, Vol. 5, N. 9, P. 1188-1189
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a12b5369add5351b84e8b4d69cb089b8
https://hal.archives-ouvertes.fr/hal-03405349
https://hal.archives-ouvertes.fr/hal-03405349
Publikováno v:
BMC Research Notes, Vol 14, Iss 1, Pp 1-4 (2021)
Plaisier, H, Meagher, T & Barker, D 2021, ' DNA sonification for public engagement in bioinformatics ', BMC Research Notes, vol. 14, 273 . https://doi.org/10.21203/rs.3.rs-471137/v1, https://doi.org/10.1186/s13104-021-05685-7
BMC Research Notes
Plaisier, H, Meagher, T & Barker, D 2021, ' DNA sonification for public engagement in bioinformatics ', BMC Research Notes, vol. 14, 273 . https://doi.org/10.21203/rs.3.rs-471137/v1, https://doi.org/10.1186/s13104-021-05685-7
BMC Research Notes
Objective Visualisation methods, primarily color-coded representation of sequence data, have been a predominant means of representation of DNA data. Algorithmic conversion of DNA sequence data to sound—sonification—represents an alternative means