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. 2024 Aug 8;13:giae051. doi: 10.1093/gigascience/giae051

Figure 5:

Figure 5:

Results for the parameter escalation experiments on the Standards samples using the sequence-based method (VLQ-nf). We analyzed the Standards with different parameterizations for reference construction (x-axis: increasing AAF threshold, y-axis: increasing maximum number of sequences per lineage). VLQ-nf, using pseudo-alignments, detected all lineages and estimated abundance profiles well across most samples and parameter settings. However, we also observed prominent detection ambiguities among Delta and its sublineages and found consistently low-abundant false positives for specific groups of lineages. Continuously increasing or decreasing parameter settings caused heterogeneous changes in the estimated abundance proportions across samples. The sequence-based method showed to perform better when using a reference set larger than the minimum reference size. Still, we found noise levels to increase distinctly when using the maximum reference size among the considered settings.