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Table 6 Quantification results for the Kal samples using the reference dataset AFS20 and the average result for AFS31RS90

From: A big data approach to metagenomics for all-food-sequencing

DatasetClassifierCattleSheepPigHorseW.Buf.GoatΣ FPΣ Dev
Kal_AExpected1.00%9.0%35.0%55.0%0.00%0.00%  
 AFS-MC1.25%11.0%30.5%54.1%0.01%0.29%0.42%8.13%
 MCSpark1.27%11.1%30.3%54.1%0.01%0.29%0.45%8.42%
 CLARK1.29%9.1%31.1%54.0%0.09%0.89%1.15%6.43%
 Kraken21.23%8.7%30.9%53.9%0.08%0.96%1.31%6.99%
 K2+Brack1.43%10.3%31.0%54.0%0.10%1.12%1.53%8.24%
Kal_BExpected9.0%1.00%55.0%35.0%0.00%0.00%  
 AFS-MC10.5%1.42%49.3%35.6%0.03%0.06%0.27%8.43%
 MCSpark10.6%1.42%49.1%35.7%0.03%0.06%0.30%8.92%
 CLARK10.3%1.26%50.0%35.8%0.17%0.18%0.56%7.85%
 Kraken210.0%1.21%49.6%35.7%0.20%0.20%1.03%8.40%
 K2+Brack11.0%1.40%35.8%49.7%0.22%0.23%1.09%9.60%
Kal_CExpected25.0%25.0%25.0%25.0%0.00%0.00%  
 AFS-MC23.3%29.6%19.2%23.0%0.06%0.73%1.08%15.28%
 MCSpark23.5%29.6%19.0%22.9%0.06%0.73%1.18%15.32%
 CLARK23.4%25.6%19.4%23.2%0.45%2.56%3.38%12.98%
 Kraken222.7%24.7%19.4%23.1%0.49%2.69%3.48%13.65%
 K2+Brack24.8%27.8%19.4%23.2%0.54%3.02%3.89%14.35%
Kal_DExpected35.0%55.0%9.00%1.00%0.00%0.00%  
 AFS-MC32.9%51.5%7.14%1.14%0.09%1.50%2.07%9.62%
 MCSpark33.2%51.2%7.03%1.13%0.09%1.49%2.23%9.91%
 CLARK32.8%43.1%7.31%1.16%0.72%4.40%5.69%21.61%
 Kraken231.6%41.3%7.26%1.16%0.79%4.62%5.77%24.75%
 K2+Brack35.8%48.4%7.28%1.16%0.89%5.40%6.70%15.96%
Kal_EExpected55.0%35.0%1.00%9.00%0.00%0.00%  
 AFS-MC50.4%33.7%0.99%7.80%0.12%0.96%1.52%8.55%
 MCSpark50.7%33.4%0.97%7.73%0.12%0.95%1.66%8.82%
 CLARK50.7%28.7%1.02%7.81%0.84%3.07%4.43%16.26%
 Kraken249.2%27.6%1.00%7.80%0.99%3.28%4.58%18.96%
 K2+Brack54.1%31.4%1.00%7.81%1.10%3.71%5.15%10.86%
KAL_DExpected35.0%55.0%9.00%1.00%0.00%0.00%  
 AFS-MC30.3%49.6%7.27%1.16%0.08%1.25%1.38%13.36%
 MCSpark30.4%49.5%7.25%1.16%0.08%1.26%1.36%13.36%
 CLARK30.8%43.3%7.51%1.20%0.86%4.57%6.30%23.85%
 Kraken229.6%41.3%7.47%1.19%0.95%4.98%7.03%27.86%
 K2+Brack33.5%48.7%7.58%1.19%1.08%5.84%8.07%17.44%
AverageAFS-MC    0.07%0.80%1.12%10.56%
 MCSpark    0.07%0.80%1.20%10.79%
 CLARK    0.51%2.61%3.59%14.83%
 Kraken2    0.58%2.79%3.87%16.77%
 K2+Brack    0.66%3.22%4.41%12.74%
AFS31RS90AFS-MC      1.84%13.38%
AverageMCSpark      1.84%13.63%
  1. AFS-MC: AFS-MetaCache, MC-Spark: MetaCacheSpark, K2+Brack: Kraken2 with subsequent Bracken, W.Buf: Water Buffalo, Σ FP: Sum of all false positive read classifications, Σ Dev: Sum of absolute deviations to the given meat composition (best results for each dataset in bold)