Felipe Hernandes Coutinho

Thanks Julia, I will add min requirements to the readme file. Also, I just created a RaFAH repo on github: https://github.com/felipehcoutinho/RaFAH Its about time I center everything there anyway. Feel free to submit PRs through there. Best, F

My bad, I meant 80GB (considering a dataset with thousands of viral sequences and using the predict mode). It only uses this much for a very short time, but enough to get killed if there is not enough much memory available.

Ok. And there is no "RaFAH_1_Host_Predictions.tsv" file generated, correct? It seems R is dying after loading the models into memory. This could happen if there is not enough RAM available. RaFAH needs at least 80 Mb of RAM to run properly, so it will most likely not work on a personal computer. Can you try running it on your server and let me know if you still get the same error?

Is "/results/Total_CP.fasta" empty by any chance? If there is something in it, are they protein sequences in fasta format?

Hi Julia, can you please specify the full command line you are using?

Hi Eric, Thanks for the info. The changes between versions were restricted to the scripts. While the HMM database stayed the same, so there should be no impact to the results.

Hi there! Which dependencies are you referring to specifically? There is no conda enviroment for RaFAH. Also, which version of RaFAH are you running and with which command?

Can you try running the same command with the attached version instead?