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Hi,
When i use the gtdbtk-2.1.0/bin/python3.8 or gtdbtk-2.3.2/bin/python3.8 gtdbtk de_novo_wf --genome_dir /public/home/lcy/arc/soil4210 --archaea --outgroup_taxon p__Altiarchaeota --out_dir /public/home/lcy/application/iphop_db/arc_MAGs_GTDB-tk_results1/ --cpus 5 --force --extension fa
because I need the GTDB database version release 214.
it also hangs on during "Identifying TIGRFAM protein families."
Looking forward for your reply ~
The text was updated successfully, but these errors were encountered:
How are you running Tk ? with Docker? on an HPC using Slurm or PBS?
How many genomes are you running at once? Does the pipeline works with one genome only?
Hi,
I am running Tk with HPC using PBS. I input about 4000 genomes at once with CPU 64, and when I separated them into two pieces(2000 genomes) with 20 CPUs, it also failed, but when I input 2000 genomes with CPU 5, it succeeded.
I am just curious that I succeeded in inputting about 6W genomes using“gtdbtk classify”, but this time it failed just inputting 4000 genomes using "gtdbtk de_novo_wf ".
I do not know the configuration of your HPC but it can be related to a wall time limit or a memory limit. the error and output file of the job you are running may give you more information about this.
Hi,
When i use the gtdbtk-2.1.0/bin/python3.8 or gtdbtk-2.3.2/bin/python3.8 gtdbtk de_novo_wf --genome_dir /public/home/lcy/arc/soil4210 --archaea --outgroup_taxon p__Altiarchaeota --out_dir /public/home/lcy/application/iphop_db/arc_MAGs_GTDB-tk_results1/ --cpus 5 --force --extension fa
because I need the GTDB database version release 214.
it also hangs on during "Identifying TIGRFAM protein families."
Looking forward for your reply ~
The text was updated successfully, but these errors were encountered: