Figure 2
From: Software for selecting the most informative sets of genomic loci for multi-target microbial typing
AuSeTTS graphical output. (A). Relationship between the number of target loci and the discriminatory power of molecular subtyping. Results for analysis of MRSA binary typing data. The maximum Simpson’s Index of Diversity was achieved with a combination of 20 targets. (B). MRSA binary typing data analysis to maximise the Wallace coefficient. Maximum concordance of binary type to predict MLST was achieved with 12 binary targets, with an AW value of 0.994.