Comparison of the performance of the Kraken+Bracken workflow described in Kirstahler <i>et al</i>. 2018, with 12 metagenomic classifiers using a synthetic mock community, as described in Peabody <i>et al.</i>, 2015. <br>Examination of the MetaSimHC250 dataset containing simulated reads from 11 microorganisms with a read length of 250 bp (Peabody <i>et al</i>., 2015). The values obtained using our Kraken+Bracken workflow (see Fig. 2 in Kirstahler <i>et al</i>., 2018) are compared with the values obtained by Peabody <i>et al</i>., 2015.<br>A) The proportion of assigned reads after classification. Kraken+Bracken performance is similar to Kraken.<br>B) Calculated sensitivity for tested methods on each individual species in the synthetic mock community. Our workflow shows comparable performance to the other Kraken results.<br>C) Calculated precision for tested methods on each individual species in the synthetic mock community. Kraken-based methods show high similarities.<br>D) Bracken results for MetaSimHC250 dataset with calculated sensitivity and precision for the classification of the Kraken+Bracken workflow.<br><br><p><b>Reference</b></p>
<p><b>Kirstahler P,
Bjerrum SS, Friis-Møller A, </b><b>la Cour M, Aarestrup FM, Westh H., and Pamp SJ. (2018) </b>Genomics-Based Identification of Microorganisms in Human Ocular Body Fluid.<b> </b>
<b>Scientific
Reports</b>, doi:10.1038/s41598-018-22416-4.
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