Closed fmalmeida closed 2 years ago
In the DRAM manual, the following piece of information is given:
Setting up DRAM with KEGG Genes and UniRef90 will take up ~500 GB of storage after processing and require ~512 GB of RAM while using KOfam and skipping UniRef90 will mean all processed databases will take up ~30 GB on disk and will only use ~128 GB of RAM while processing.
Thus, this software is not in compliance with the idea of this pipeline that is to make a generic but comprehensive annotation that is lightweight and has small memory requirements so it easily runs in any machine, from laptops to HPCs.
Check and study the possibility of adding DRAM to the pipeline.
Will it be good? Will it be possible? How to do it?