Table 1

Parameter evaluation using a non-454 model
Parameters/ID 40% 50% 60% 70% 80% 90% 100%
S = 10, D = 20, F = 0 0.1098 0.1064 0.1259 0.2216 0.2566 0.3099 0.3512
S = 8, D = 14, F = 0 0.1006 0.1092 0.1310 0.2332 0.2659 0.3245 0.3632
S = 8, D = 12, F = 0 0.0976 0.1074 0.1333 0.2323 0.2672 0.3232 0.3619
S = 6, D = 10, F = 0 0.0703 0.0834 0.1087 0.2350 0.2613 0.3292 0.3684
S = 6, D = 12, F = 0 0.0731 0.0909 0.1122 0.2346 0.2635 0.3317 0.3707
S = 8, D = 15, F = 0 0.1012 0.1070 0.1311 0.2332 0.2664 0.3251 0.3638

The table describes the Matthews Correlation Coefficient of the homopolymer insertion/deletion recovery for various gap costs using a non-454 data model. The results are evaluated using alignments against database entries of a protein identity ranging from 40 to 100%, not including potential sequencing errors. The best results are highlighted in bold for each column. The parameter set which results in the best mean MCC is highlighted in bold.

Lysholm

Lysholm BMC Bioinformatics 2012 13:230   doi:10.1186/1471-2105-13-230

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