macrel
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BigDataBiology
Predict AMPs in (meta)genomes and peptides
Hi, I'm trying to run macrel in peptide mode for ~200,000 sequences. I get the following error: ``` Traceback (most recent call last): File "Programs/miniconda3/envs/macrel/bin/macrel", line 11, in sys.exit(main()) File...
Hello I am trying to run macrel but I got the follow error: # Sequence Data: seqnum=7183;seqlen=1609;seqhdr="k127_22397 flag=3 multi=7.0047 len=1609" # Model Data: version=Prodigal.v2.6.3;run_type=Metagenomic;model="11|Candidatus_Amoebophilus_asiaticus_5a2|B|35.0|11|0";gc_cont=35.00;transl_table=11;uses_sd=0 >1_302_409_- Traceback (most recent call last):...
Currently, we just distribute `pickle`d scikit-learn objects, which works but is brittle to version changes A more robust approach would solve this
