Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12348/4322
Lab-in-a-backpack: Rapid Genomic Detection to revolutionize control of disease outbreaks in fish farming
dc.creator | Delamare-Deboutteville, J. | en_US |
dc.creator | Barnes, A. | en_US |
dc.creator | Wilkinson, S. | en_US |
dc.creator | Huso, D. | en_US |
dc.date.accessioned | 2020-08-30T08:06:14Z | |
dc.date.available | 2020-08-30T08:06:14Z | |
dc.date.issued | 2020 | en_US |
dc.identifier.citation | Jerome Delamare-Deboutteville, Andrew Barnes, Shaun Wilkinson, Doina Huso. (30/3/2020). Lab-in-a-backpack: Rapid Genomic Detection to revolutionize control of disease outbreaks in fish farming. URL: https://fish.cgiar.org/impact/stories-of-change/lab-backpack-rapid-genomic-detection-revolutionize-control-disease | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12348/4322 | |
dc.description.abstract | A team of researchers from Malaysia, Australia, New Zealand, Thailand, and the UK is harnessing the power of genome sequencing to help Aquaculture farmers manage fish diseases. Until recently, this was not possible as the technology was not only costly but the genome sequencing process required time and coordination between different specialist labs. But this changed with the invention of MinION from Oxford Nanopore Technologies, a small and easy to use USB device that makes the genomic sequencing cheaper and faster. | en_US |
dc.language | en | en_US |
dc.publisher | WorldFish (WF) | en_US |
dc.rights | CC-BY-NC-4.0 | en_US |
dc.subject | disease | en_US |
dc.subject | database | en_US |
dc.subject | diagnostic tool | en_US |
dc.subject | bacterial genomics | en_US |
dc.subject | oxford nanopore technologies | en_US |
dc.subject | rapid diagnotics | en_US |
dc.subject | lab-in-a-backpack | en_US |
dc.subject | portable sequencer | en_US |
dc.subject | Fish | en_US |
dc.title | Lab-in-a-backpack: Rapid Genomic Detection to revolutionize control of disease outbreaks in fish farming | en_US |
dc.type | Blog | en_US |
cg.contributor.crp | Fish | en_US |
cg.contributor.funder | CGIAR System Organization | en_US |
cg.coverage.country | Australia | en_US |
cg.coverage.country | Bangladesh | en_US |
cg.coverage.country | Malaysia | en_US |
cg.coverage.country | New Zealand | en_US |
cg.coverage.country | Thailand | en_US |
cg.coverage.region | Australia and New Zealand | en_US |
cg.coverage.region | Southern Asia | en_US |
cg.coverage.region | South-Eastern Asia | en_US |
cg.subject.agrovoc | aquaculture | en_US |
cg.subject.agrovoc | training | en_US |
cg.subject.agrovoc | ai (artificial intelligence) | en_US |
cg.subject.agrovoc | machine learning | en_US |
cg.subject.agrovoc | fish diseases | en_US |
cg.contributor.affiliation | WorldFish | en_US |
cg.contributor.affiliation | University of Exeter | en_US |
cg.contributor.affiliation | University of Queensland | en_US |
cg.contributor.affiliation | Wilderlab NZ Ltd | en_US |
cg.contributor.affiliation | Centre for Environment, Fisheries and Aquaculture Science | en_US |
cg.contributor.affiliation | Mahidol University, Faculty of science, Center of Excellence for Shrimp Molecular Biology and Biotechnology | en_US |
cg.contributor.affiliation | Independent / Not associated | en_US |
cg.identifier.status | Open access | en_US |
cg.contribution.worldfishauthor | Delamare-Deboutteville, J. | en_US |
cg.contribution.worldfishauthor | Huso, D. | en_US |
cg.description.theme | Sustainable aquaculture | en_US |
cg.identifier.url | https://fish.cgiar.org/impact/stories-of-change/lab-backpack-rapid-genomic-detection-revolutionize-control-disease | en_US |
cg.creator.id | Jerome Delamare-Deboutteville: 0000-0003-4169-2456 | en_US |
cg.creator.id | Doina Huso: 0000-0002-4477-2593 | en_US |
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Sustainable aquaculture [2702]