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I am validating this using multiple datasets generated by a read simulator for metagenomics. Each data set contains a total of 500,000 reads. It is running on a Docker container with StrainFLAIR installed on a Linux machine with 120 GB of memory. Some of the data sets succeed and some fail with the following error, so I don't think it is due to lack of memory on the machine.
I can share these test data with you. Any further help would be appreciated!
Percent: [##################################################] 100% Done...
/opt/conda/envs/StrainFLAIR/bin/StrainFLAIR.sh: line 639: 49 Killed $cmd
GENE-LEVEL ABUNDANCES
json2csv -g out_Lm3_Pf_Sh/graphs/all_graphs.gfa -m out_Lm3_Pf_Sh/mapping/mapping_mix_Pf-Sh-Lm1e-1_1M.json -p out_Lm3_Pf_Sh/graphs/dict_clusters.pickle -o out_Lm3_Pf_Sh/results/mix_Pf-Sh-Lm1e-1_1M
there was a problem with the gene-level table generation
The text was updated successfully, but these errors were encountered:
I am validating this using multiple datasets generated by a read simulator for metagenomics. Each data set contains a total of 500,000 reads. It is running on a Docker container with StrainFLAIR installed on a Linux machine with 120 GB of memory. Some of the data sets succeed and some fail with the following error, so I don't think it is due to lack of memory on the machine.
I can share these test data with you. Any further help would be appreciated!
The text was updated successfully, but these errors were encountered: