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In-situ genomic prediction using low-coverage Nanopore sequencing
View ORCID ProfileHarrison J. Lamb, View ORCID ProfileBen J. Hayes, View ORCID ProfileImtiaz A. S. Randhawa, View ORCID ProfileLoan T. Nguyen, Elizabeth M. Ross
doi: https://doi.org/10.1101/2021.07.16.452615
Harrison J. Lamb
1Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD 4072, Australia
Ben J. Hayes
1Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD 4072, Australia
Imtiaz A. S. Randhawa
2School of Veterinary Science, The University of Queensland, QLD, 4343, Australia
Loan T. Nguyen
1Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD 4072, Australia
Elizabeth M. Ross
1Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD 4072, Australia
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Posted July 16, 2021.
In-situ genomic prediction using low-coverage Nanopore sequencing
Harrison J. Lamb, Ben J. Hayes, Imtiaz A. S. Randhawa, Loan T. Nguyen, Elizabeth M. Ross
bioRxiv 2021.07.16.452615; doi: https://doi.org/10.1101/2021.07.16.452615
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