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. 2018 Jul 13;35(2):219–226. doi: 10.1093/bioinformatics/bty611

Fig. 2.

Fig. 2.

Comparison of Opal against compositional SVM-based approaches. On a synthetic dataset of fragments of length 200 drawn from a dataset of 50 bacterial species (Vervier et al., 2016), using Opal LDPC hash functions (Opal-Gallagher) as features outperforms using the same method with uniformly random LSH functions (Opal-LSH), as well as using contiguous 16- and 12-mers, with (a) substitution errors and (b) indels. We note particularly good robustness against substitution errors