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We converted multi fast5 to single fast5 and have successfully run everything up until this last bin step. We get this same error after it has processed approximately 200,000 reads (3.5 Gbs). Tried on multiple different installs (git dist, conda) with the same result.
$ deepbinner bin --classes classifications_edited --reads combined_fastq.gz --out_dir ~/Vault/PERSONAL-folders/Supriya/Nanopore_II_June25/demultiplexed_2/
Loading classifications... done
2,088,654 total classifications found
Making output directory: /home/imss/Vault/PERSONAL-folders/Supriya/Nanopore_II_June25/demultiplexed_2/
Traceback (most recent call last):
File "/home/imss/tools/anaconda3/envs/dbinner/bin/deepbinner", line 10, in <module>
sys.exit(main())
File "/home/imss/tools/anaconda3/envs/dbinner/lib/python3.7/site-packages/deepbinner/deepbinner.py", line 64, in main
bin_reads(args)
File "/home/imss/tools/anaconda3/envs/dbinner/lib/python3.7/site-packages/deepbinner/bin.py", line 32, in bin_reads
write_read_files(args.reads, classifications, out_filenames, input_type)
File "/home/imss/tools/anaconda3/envs/dbinner/lib/python3.7/site-packages/deepbinner/bin.py", line 146, in write_read_files
out_files[class_name].write(read_line_1)
KeyError: 'not found'
The text was updated successfully, but these errors were encountered:
We converted multi fast5 to single fast5 and have successfully run everything up until this last bin step. We get this same error after it has processed approximately 200,000 reads (3.5 Gbs). Tried on multiple different installs (git dist, conda) with the same result.
The text was updated successfully, but these errors were encountered: