Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daniel L. Ayres"'
Autor:
Jessica A. Goodheart, Sabrina Bleidißel, Dorothee Schillo, Ellen E. Strong, Daniel L. Ayres, Angelika Preisfeld, Allen G. Collins, Michael P. Cummings, Heike Wägele
Publikováno v:
Frontiers in Zoology, Vol 15, Iss 1, Pp 1-18 (2018)
Abstract Background A number of shelled and shell-less gastropods are known to use multiple defensive mechanisms, including internally generated or externally obtained biochemically active compounds and structures. Within Nudipleura, nudibranchs with
Externí odkaz:
https://doaj.org/article/a07df541ecfb4449a378bb265e9c4d27
Autor:
Hally B. Stone, Neil S. Banas, Parker MacCready, Vera L. Trainer, Daniel L. Ayres, Matthew V. Hunter
Publikováno v:
Harmful Algae. 119:102334
In the Pacific Northwest, blooms of the diatom Pseudo-nitzschia (PN) sometimes produce domoic acid, a neurotoxin that causes amnesic shellfish poisoning, leading to a Harmful Algal Bloom (HAB) event. The Pacific Northwest (PNW) HAB Bulletin project,
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1910
In this chapter, we focus on the computational challenges associated with statistical phylogenomics and how use of the broad-platform evolutionary analysis general likelihood evaluator (BEAGLE), a high-performance library for likelihood computation,
Publikováno v:
Methods in Molecular Biology ISBN: 9781493990733
In this chapter, we focus on the computational challenges associated with statistical phylogenomics and how use of the broad-platform evolutionary analysis general likelihood evaluator (BEAGLE), a high-performance library for likelihood computation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c61c4f48e3571147c1eb4426cdd3b524
https://doi.org/10.1007/978-1-4939-9074-0_23
https://doi.org/10.1007/978-1-4939-9074-0_23
Autor:
Michael P. Cummings, Ellen E. Strong, Sabrina Bleidißel, Angelika Preisfeld, Jessica A. Goodheart, Dorothee Schillo, Allen Gilbert Collins, Heike Wägele, Daniel L. Ayres
Publikováno v:
Frontiers in Zoology
Frontiers in Zoology, Vol 15, Iss 1, Pp 1-18 (2018)
Frontiers in Zoology, Vol 15, Iss 1, Pp 1-18 (2018)
Background A number of shelled and shell-less gastropods are known to use multiple defensive mechanisms, including internally generated or externally obtained biochemically active compounds and structures. Within Nudipleura, nudibranchs within Cladob
Autor:
Daniel L. Ayres, Michael P. Cummings
Publikováno v:
IPDPS Workshops
Parallel computing algorithms benefit from increases in concurrency when the hardware capacity is being under utilized. For likelihood-based molecular evolution inferences this can be due to small problem sizes, or because hardware capacity has incre
Autor:
Daniel L, Ayres, Michael P, Cummings, Guy, Baele, Aaron E, Darling, Paul O, Lewis, David L, Swofford, John P, Huelsenbeck, Philippe, Lemey, Andrew, Rambaut, Marc A, Suchard
Publikováno v:
Systematic Biology
BEAGLE is a high-performance likelihood-calculation library for phylogenetic inference. The BEAGLE library defines a simple, but flexible, application programming interface (API), and includes a collection of efficient implementations for calculation
Autor:
Michael P. Cummings, Daniel L. Ayres
Publikováno v:
ICPP Workshops
We describe our approach to extend the BEAGLE library for high-performance statistical phylogenetic inference (maximum likelihood estimation and Bayesian analysis) in order to support a wider range of modern accelerators and multicore CPUs, and prese
Autor:
Michael P. Cummings, Daniel L. Ayres
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783319654812
ICA3PP
ICA3PP
We describe our approach in augmenting the beagle library for high-performance statistical phylogenetic inference to support concurrent computation of independent partial likelihoods arrays. Our solution involves identifying independent likelihood es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d82ca92d839d8ccbbf6b4add53f49dfe
https://doi.org/10.1007/978-3-319-65482-9_39
https://doi.org/10.1007/978-3-319-65482-9_39
Autor:
Aaron E. Darling, Maxim Teslenko, Bret Larget, John P. Huelsenbeck, Daniel L. Ayres, Liang Liu, Marc A. Suchard, Fredrik Ronquist, Sebastian Höhna, Paul van der Mark
Publikováno v:
Systematic biology, vol 61, iss 3
Systematic Biology
Systematic Biology
Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::babf88f6f13bfcb14914e97e374d834a
https://escholarship.org/uc/item/5nd8r4p9
https://escholarship.org/uc/item/5nd8r4p9