Hayes BJ - Search Results

1

Genomic prediction using low-coverage portable Nanopore sequencing.

Lamb HJ, Hayes BJ, Randhawa IAS, Nguyen LT, Ross EM. Lamb HJ, et al. Among authors: hayes bj. PLoS One. 2021 Dec 15;16(12):e0261274. doi: 10.1371/journal.pone.0261274. eCollection 2021. PLoS One. 2021. PMID: 34910782 Free PMC article.

2

High throughput whole rumen metagenome profiling using untargeted massively parallel sequencing.

Ross EM, Moate PJ, Bath CR, Davidson SE, Sawbridge TI, Guthridge KM, Cocks BG, Hayes BJ. Ross EM, et al. Among authors: hayes bj. BMC Genet. 2012 Jul 2;13:53. doi: 10.1186/1471-2156-13-53. BMC Genet. 2012. PMID: 22747657 Free PMC article.

3

Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions.

Druet T, Macleod IM, Hayes BJ. Druet T, et al. Among authors: hayes bj. Heredity (Edinb). 2014 Jan;112(1):39-47. doi: 10.1038/hdy.2013.13. Epub 2013 Apr 3. Heredity (Edinb). 2014. PMID: 23549338 Free PMC article.

4

Investigating the effect of two methane-mitigating diets on the rumen microbiome using massively parallel sequencing.

Ross EM, Moate PJ, Marett L, Cocks BG, Hayes BJ. Ross EM, et al. Among authors: hayes bj. J Dairy Sci. 2013 Sep;96(9):6030-46. doi: 10.3168/jds.2013-6766. Epub 2013 Jul 17. J Dairy Sci. 2013. PMID: 23871375 Free article.

5

Metagenomic predictions: from microbiome to complex health and environmental phenotypes in humans and cattle.

Ross EM, Moate PJ, Marett LC, Cocks BG, Hayes BJ. Ross EM, et al. Among authors: hayes bj. PLoS One. 2013 Sep 4;8(9):e73056. doi: 10.1371/journal.pone.0073056. eCollection 2013. PLoS One. 2013. PMID: 24023808 Free PMC article.

6

Metagenomics of rumen bacteriophage from thirteen lactating dairy cattle.

Ross EM, Petrovski S, Moate PJ, Hayes BJ. Ross EM, et al. Among authors: hayes bj. BMC Microbiol. 2013 Nov 1;13:242. doi: 10.1186/1471-2180-13-242. BMC Microbiol. 2013. PMID: 24180266 Free PMC article.

7

A computationally efficient algorithm for genomic prediction using a Bayesian model.

Wang T, Chen YP, Goddard ME, Meuwissen TH, Kemper KE, Hayes BJ. Wang T, et al. Among authors: hayes bj. Genet Sel Evol. 2015 Apr 30;47(1):34. doi: 10.1186/s12711-014-0082-4. Genet Sel Evol. 2015. PMID: 25926276 Free PMC article.

8

Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy.

Bolormaa S, Gore K, van der Werf JH, Hayes BJ, Daetwyler HD. Bolormaa S, et al. Among authors: hayes bj. Anim Genet. 2015 Oct;46(5):544-56. doi: 10.1111/age.12340. Epub 2015 Sep 11. Anim Genet. 2015. PMID: 26360638

9

Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction.

Moghaddar N, Gore KP, Daetwyler HD, Hayes BJ, van der Werf JH. Moghaddar N, et al. Among authors: hayes bj. Genet Sel Evol. 2015 Dec 22;47:97. doi: 10.1186/s12711-015-0175-8. Genet Sel Evol. 2015. PMID: 26694131 Free PMC article.

10

Genomic prediction of reproduction traits for Merino sheep.

Bolormaa S, Brown DJ, Swan AA, van der Werf JHJ, Hayes BJ, Daetwyler HD. Bolormaa S, et al. Among authors: hayes bj. Anim Genet. 2017 Jun;48(3):338-348. doi: 10.1111/age.12541. Epub 2017 Feb 17. Anim Genet. 2017. PMID: 28211150

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