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. 2022 Sep 26;12(11):jkac233. doi: 10.1093/g3journal/jkac233

Table 2.

Parameters used in profile–sequence clustering grid search.

Parameter name Values Brief description
—cluster-mode 0, 1, 2 Clustering algorithm to usea
—num-iterations 1, 2, 3 Number of iterations to dob
−s 1, 4, 7 Sensitivityc
—min-seq-id 0.35, 0.3, 0.25, 0.2, 0.15 Percent identity threshold
−c/—cov 0.85, 0.8, 0.75, 0.7, 0.65, 0.6, 0.55 Coverage threshold
−e/—e-profile 1e−05, 1e−3 E-value threshold
a

Different algorithms are available to interpret the graph of pairwise edges into clusters. 0 = set cover, 1 = single-linkage (like blastclust), 2 = greedy-incremental (like CD-HIT). Details are in MMseqs2 manual.

b

Performs this many PSI-BLAST-like iterations of finding homologs and updating profiles before clustering.

c

Higher sensitivity values allow less similar k-mers to count as matches that can seed an alignment.