We are not done with the details yet. But the current steps are; Base-calling (guppy) -> classification -> Alignment control, and from there, we are still debating how we want to determine correlation. We expect large datasets of around 50Gigabases. The budget is relatively high, at about $10.000. We are currently looking into: AMD Threadripper 3970X (32 cores), 256 GB of ram, and an RTX 3090. But we want to be sure it's enough. But looking at literature, it should be sufficient.
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An NVIDIA GPU is necessary if you want to complete the basecalling in a reasonable amount of time. Depending on the budget, any NVIDIA GPU with a cuda compute capacity of 6.1 or higher should works fine
only if software can take advantage of it. Not every tool out there is GPU-capable.
ONT basecallers are performant only with GPU's.
I assumed that this was already covered because of the mention of
Thank you, I am aware of this. As stated in the post, the requirements for the MinION are provided by oxford. Its mainly the amount of performance we need for the pipeline we are building, which would be mainly RAM and CPU power.