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Hello,
However, I was wondering what "decent" instead of minimum specs would be, in terms of RAM, CPU amount/speed, or anything else you think is important. Thank you! |
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It depends on the size of your input data 😄 I personally use an M1 Macbook with 32GB of RAM to develop the workflow and never have any problems. I test with datasets like 1000 Genomes and the Human Genome Diversity Project. However for really big jobs - like calculating scores for 500,000 people in UK Biobank - it's best to get access to a HPC cluster, cloud account, or a desktop with a bunch of RAM (128GB +). Lots of fast storage is also very helpful. In order fastest to slowest: NVMe > SSD > HDD |
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Thanks! My input data is about 1000 genomes. It would be great if it could finish in a few days. I will look for desktops with NVMe and decent RAM. I think one of these two might work: Do you think I'm missing anything? I appreciate the tips! |
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It depends on the size of your input data 😄
I personally use an M1 Macbook with 32GB of RAM to develop the workflow and never have any problems. I test with datasets like 1000 Genomes and the Human Genome Diversity Project.
However for really big jobs - like calculating scores for 500,000 people in UK Biobank - it's best to get access to a HPC cluster, cloud account, or a desktop with a bunch of RAM (128GB +).
Lots of fast storage is also very helpful. In order fastest to slowest: NVMe > SSD > HDD