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Table 1 Comparison of all methods and their variants on glocal map-to-sequence alignment

From: OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis

Algorithm Drosophila (A) Drosophila (B) Human (A) Human (B)
  S P S P S P S P
OPTIMA 90 100 49 99 83 100 43 98
Gentig v.2 (d) 59 100 24 99 53 96 20 80
Gentig v.2 (tp) 59 100 24 98 54 95 20 88
SOMA v.2 (v) 72 73 31 39 50 50 17 20
Likelihood (d+a) 49 49 29 30 24 24 14 14
Likelihood (d+a+t) 64 65 38 39 33 34 18 19
Likelihood (p+a+t) 75 75 39 39 62 62 19 20
  1. Sensitivity (S) and precision (P) are percentages and the best values across all methods are highlighted in bold. Results are based on the alignment of a subset of 2100 maps, as used in Fig. 4