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915 results on '"Taylor, J F"'

1. Fast optimal CMB power spectrum estimation with Hamiltonian sampling

Author

Taylor, J. F., Ashdown, M. A. J., and Hobson, M. P.

Subjects
Astrophysics
Abstract

We present a method for fast optimal estimation of the temperature angular power spectrum from observations of the cosmic microwave background. We employ a Hamiltonian Monte Carlo (HMC) sampler to obtain samples from the posterior probability distribution of all the power spectrum coefficients given a set of observations. We compare the properties of the HMC and the related Gibbs sampling approach on low-resolution simulations and find that the HMC method performs favourably even in the regime of relatively low signal-to-noise. We also demonstrate the method on high-resolution data by applying it to simulated WMAP data. Analysis of a WMAP-sized data set is possible in a around eighty hours on a high-end desktop computer. HMC imposes few conditions on the distribution to be sampled and provides us with an extremely flexible approach upon which to build., Comment: 9 pages, 5 figures, submitted to Monthly Notices of the Royal Astronomical Society. Content changed in response to reviewers comments and new developments

Published
2007
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13. Using online tools at the Bovine Genome Database to manually annotate genes in the new reference genome

Author

Triant, D. A., primary, Le Tourneau, J. J., additional, Diesh, C. M., additional, Unni, D. R., additional, Shamimuzzaman, M., additional, Walsh, A. T., additional, Gardiner, J., additional, Goldkamp, A. K., additional, Li, Y., additional, Nguyen, H. N., additional, Roberts, C., additional, Zhao, Z., additional, Alexander, L. J., additional, Decker, J. E., additional, Schnabel, R. D., additional, Schroeder, S. G., additional, Sonstegard, T. S., additional, Taylor, J. F., additional, Rivera, R. M., additional, Hagen, D. E., additional, and Elsik, C. G., additional

Published
2020
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19. CRUMBLER: a tool for the prediction of ancestry in cattle

Author

CRUM, T. E., SCHNABEL, R. D., DECKER, J. E., REGITANO, L. C. de A., TAYLOR, J. F., Tamar E. Crum, University of Missouri, Robert D. Schnabel, Universityof Missouri, Jared E. Decker, Universityof Missouri, LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE, and Jeremy F. Taylor, University of Missouri.

Subjects
Dairy production systems, Beef quality, Pedigree information, Beef cattle, Beef animals
Abstract

In many beef and some dairy production systems, cross breedingis used to take advan-tage of breed complementarity and heterosis. Admixed animals are frequently identified by their coat color and body conformation phenotypes, however, without pedigree informa-tionit is not possible to identify the expected breed composition of an admixed animal and in the presence of selection, the actual composition may differ from expectation. Made available in DSpace on 2019-11-29T18:09:04Z (GMT). No. of bitstreams: 1 CRUMBLERAtoolfortheprediction.pdf: 6008582 bytes, checksum: f4276ab4ce5ee73aecce16c9c1e3415c (MD5) Previous issue date: 2019 On-line first.

Published
2019

36. Bovine chromosome 4 workshop: consensus and comprehensive linkage maps

Author

Casas, E, Barendse, W, Beever, J E, Burns, B M, Davis, S K, Erhardt, G, Förster, M, Gomez-Raya, L, Kalm, E, Kappes, S M, Klungland, H, Lewin, H A, Lien, S, Olsaker, I, Reinsch, N, Schwerin, M, Song, Y, Taylor, J F, Thomsen, H, Våge, D I, Wu, X, Xu, N, and Yeh, C-C

Published
1999

38. Scans for signatures of selection in Russian cattle breed genomes reveal new candidate genes for environmental adaptation and acclimation

Author

Yurchenko, A A, Daetwyler, H D, Yudin, N, Schnabel, R D, Vander Jagt, C J, Soloshenko, V, Lhasaranov, B, Popov, R, Taylor, J F, and Larkin, D M

Abstract

Domestication and selective breeding has resulted in over 1000 extant cattle breeds. Many of these breeds do not excel in important traits but are adapted to local environments. These adaptations are a valuable source of genetic material for efforts to improve commercial breeds. As a step toward this goal we identified candidate regions to be under selection in genomes of nine Russian native cattle breeds adapted to survive in harsh climates. After comparing our data to other breeds of European and Asian origins we found known and novel candidate genes that could potentially be related to domestication, economically important traits and environmental adaptations in cattle. The Russian cattle breed genomes contained regions under putative selection with genes that may be related to adaptations to harsh environments (e.g., AQP5, RAD50, and RETREG1). We found genomic signatures of selective sweeps near key genes related to economically important traits, such as the milk production (e.g., DGAT1, ABCG2), growth (e.g., XKR4), and reproduction (e.g., CSF2). Our data point to candidate genes which should be included in future studies attempting to identify genes to improve the extant breeds and facilitate generation of commercial breeds that fit better into the environments of Russia and other countries with similar climates.

Published
2018

41. Report of the first workshop on the genetic map of bovine chromosome 1

Author

Taylor, J F, Eggen, A, Aleyasin, A, Armitage, S M, Barendse, W, Beever, J E, Bishop, M D, Brenneman, R A, Burns, B M, Davis, S K, Elo, K, Harlizius, B, Kappes, S M, Keele, J W, Kemp, S J, Kirkpatrick, B W, Lewin, H A, R Z, McGraw, R A, Pomp, D, Stone, R T, Sugimoto, Y, Teale, A J, Vaiman, D, Vilkki, J, Williams, J L, Yeh, C-C, and Zanotti, M C

Published
1998

50. Early nutritional intervention can improve utilisation of vegetable-based diets in diploid and triploid Atlantic salmon (Salmo salar L.)

Author

Clarkson, M., Migaud, H., Metochis, C., Vera Andujar, L. M., Leeming, D., Tocher, D. R., and Taylor, J. F.

Subjects
Atlantic salmon, Lipids, Vegetable raw material, Nutritional programming
Abstract

©. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Published Manuscript version of a Published Work that appeared in final form in [ British Journal of Nutrition]. To access the final edited and published work see [doi:10.1017/S0007114517001842]

Published
2017

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