This study showcases the use of amplicon-based metagenomics of cyanotoxin biosynthesis genes in a multi-toxin bloom thus illustrating the broad applicability of HTS for water management in risk-oriented monitoring of cyanobacterial harmful algal blooms.
| Accession | PRJNA474081 |
| Data Type | Raw sequence reads |
| Scope | Environment |
| Organism | Cyanobacteria[Taxonomy ID: 1117] Bacteria; Cyanobacteria |
| Grants | - "Spanish PhD research fellowship" (Grant ID BES-2014-069106, Ministerio de Economía, Industria y Competitividad)
- "Juan de la Cierva-Incorporación Postdoctoral Fellowship" (Grant ID IJCI-2014-19151, Ministerio de Economía, Industria y Competitividad)
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| Submission | Registration date: 1-Jun-2018
Universidad Autonoma de Madrid |
| Relevance | Environmental |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 20 |
| Other datasets |
| BioSample | 36 |