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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Evaluation of BLAST-based edge-weighting metrics used for homology inference with the Markov Clustering algorithm

Fig. 3

Illustration of edge-weighting metrics. Toy example demonstrating performance similarities and differences between the graph-weighting metrics in three different simulated fragmentation scenarios: (a) alignment between two full-length sequences, (b) alignment between one full-length sequence and one unevenly fragmented sequence, and (c) alignment between two unevenly fragmented sequences. Section (d) lists information about each alignment, including the minimum self bit score (SBS), the anchored alignment length (AL), and each of the four edge-weighting metrics. The coefficients of variation (cv = σ/μ) summarize the variation relative to the respective means for each metric

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