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Fig. 4 | Malaria Journal

Fig. 4

From: Development of a new barcode-based, multiplex-PCR, next-generation-sequencing assay and data processing and analytical pipeline for multiplicity of infection detection of Plasmodium falciparum

Fig. 4

STIM estimation method on synthetic data. The data was generated by creating uniformly random barcodes and mixture vectors and adding Gaussian noise (top: std.dev = 0.05, bottom: std.dev = 0.01) to create input vectors for StrainRecon. The graph shows the percentage of synthetic samples for which the MOI was correctly identified by choosing the lowest number of strains that go below the misfit threshold on the horizontal axis. The plots on the left show regular performance, whereas on the right StrainRecon is provided with the correct value of the mixture vector. The black vertical lines show lowest misfit threshold permitted by Morozov’s discrepancy principle (here the expression simplifies to \(\frac{SNPs}{2} = 12\)), below which any signal is effectively better explained by noise [17]

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