A collaboration between the World Fish Center, University of Queensland and Wilderlab, and partially funded through the CGIAR Inspire Prize for Big Data in Agriculture 2019.
More...A collaboration between the World Fish Center, University of Queensland and Wilderlab, and partially funded through the CGIAR Inspire Prize for Big Data in Agriculture 2019. These whole genome sequences comprise the foundation of a database of fully closed genomes of aquatic pathogenic bacteria of significance to aquaculture in low and middle income countries. This is an ongoing project used to train an open source kmer classifier that can identify species, serotype, sequence type directly from raw nanopore sequencer reads enabling rapid diagnostics and evidence based interventions
Less...Accession | PRJNA761234 |
Data Type | Genome sequencing and assembly |
Scope | Multispecies |
Grants | - "Rapid Genomic Sequencing of Aquatic Pathogens" (Grant ID Inspire 2019, Consultative Group on International Agricultural Research)
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Submission | Registration date: 7-Sep-2021 The University of Queensland |
Related Resources | |
Relevance | Agricultural |
Project Data:
Resource Name | Number of Links |
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BioSample | 30 |
No public data is linked to this project. Any recently released data that cites this project will be linked to it within a few days.