This project involved sequencing some bacterial isolates from ATCC (https://www.atcc.org) to test ONT-only analysis methods.
| Accession | PRJNA1042815 |
| Data Type | Raw sequence reads |
| Scope | Multispecies |
| Publications | - Published online: Hall M et al., "Benchmarking reveals superiority of deep learning variant callers on bacterial nanopore sequence data", bioRxiv, 2024;
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| Submission | Registration date: 19-Nov-2023
University of Melbourne |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 96 |
| Other datasets |
| BioSample | 9 |