2688d136e30ded4d09d30409a8cc18665ab1f8d4
eDNA_Stream_E01
Scope
- Establish whether squiggle-based taxonomy is feasible on the small computational budget that is available
Dataset:
- NO-MISS bacterial isolates, v10.4.1 chemistry on PromethION flow cells (https://epi2me.nanoporetech.com/nomiss_96bc_p2i_sup_2026/)
- Downsampling at the pod5 level intended for compute/time reasons -> the full dataset is 293 pod5 / 1.6 TB of raw data
Dependencies:
- dorado >= v 2.0.0
- aws CLI
- conda/mamba (mamba recommended)
- python env with:
- python 3.14
- snakemake
- python-dotenv
Optional:
- .env file with NCBI API key -> slightly speeds up reference fasta download
Running:
cd workflow
snakemake --cores <cores> --resources gpu=<n_gpus>
Languages
Python
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