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Fig. 9 | BMC Bioinformatics

Fig. 9

From: Reads2Type: a web application for rapid microbial taxonomy identification

Fig. 9

Predictions for seven different species in the 1003 raw sequencing data using Reads2Type (left) and Kraken (right). For Kraken, the prediction is considered correct if > 50 % of the reads are identified as the true taxonomy. Based on this criteria, Kraken has 100 % prediction accuracy. For Reads2Type, the three pink cells correspond to five misidentifications, and the two dark red cells shows that E. coli and S. aureus has been misidentified, as stated in Table 1

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