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100.00 1 0 R 1 root
100.00 1 0 R1 131567 cellular organisms
100.00 1 0 D 2 Bacteria
100.00 1 0 K 1783272 Bacillati
100.00 1 0 P 1239 Bacillota
100.00 1 0 C 91061 Bacilli
100.00 1 0 O 1385 Bacillales
100.00 1 0 F 186820 Listeriaceae
100.00 1 1 G 1637 Listeria
kun-peng identifes only one species at genus level. Is there a way to improve classification to identify all species. My database contains 25K organisms.
Thank you.
The text was updated successfully, but these errors were encountered:
humbleflowers
changed the title
Benchmarking kun_peng with ZYMO D6311 sample
Benchmarking kun-peng with ZYMO D6311 sample
Jan 3, 2025
humbleflowers
changed the title
Benchmarking kun-peng with ZYMO D6311 sample
Benchmarking kun_peng with ZYMO D6311 sample
Jan 3, 2025
I am running benchmarking on ZYMO D6311 containing 10 species in log proportion.
Theoretical Composition Based on Genomic DNA: Listeria monocytogenes - 89.1%, Pseudomonas aeruginosa - 8.9%, Bacillus subtilis - 0.89%, Saccharomyces cerevisiae - 0.89%, Escherichia coli - 0.089%, Salmonella enterica - 0.089%, Lactobacillus fermentum - 0.0089%, Enterococcus faecalis - 0.00089%, Cryptococcus neoformans - 0.00089%, and Staphylococcus aureus - 0.000089%
Command i ran was
kun-peng classify -p 30 --db /mnt/wwbixprd/kraken2_wwm_ont/k2-241224/ --output-dir test/ --chunk-dir chunk-test/ -S /mnt/wwbixprd/ont_zymo_samples/zym_D6311_r104.10gb.fastq.gz
I got following output
kun-peng identifes only one species at genus level. Is there a way to improve classification to identify all species. My database contains 25K organisms.
Thank you.
The text was updated successfully, but these errors were encountered: