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. 2010 Jul 23;11:395. doi: 10.1186/1471-2105-11-395

Table 3.

Performance comparison of MZmine 2 alignment methods (right side of the table) to previously published results (left side of the table) obtained using several different software packages [11].

Results published by Lange et al. (2008), avaiable at the time of writing at http://msbi.ipb-halle.de/msbi/caap MZmine 2 results

msInspect MZmine
(version 0.6)
OpenMS SpecArray XAlign XCMS

without RT correction With correction Join aligner RANSAC aligner
Proteomics data set P1

fraction 00

Recall 0.52 0.81 0.86 0.61 0.82 0.72 0.62 0.80 0.86

Precision 0.38 0.81 0.86 0.61 0.82 0.54 0.58 0.80 0.86

fraction 20

Recall 0.56 0.90 0.92 0.62 0.85 0.88 0.81 0.90 0.93

Precision 0.45 0.90 0.92 0.62 0.85 0.84 0.80 0.90 0.93

fraction 40

Recall 0.63 0.90 0.94 0.75 0.87 0.92 0.81 0.87 0.94

Precision 0.48 0.90 0.94 0.75 0.87 0.85 0.80 0.87 0.94

fraction 60

Recall 0.73 0.84 0.96 0.71 0.87 0.91 0.78 0.89 0.97

Precision 0.54 0.84 0.96 0.71 0.87 0.80 0.75 0.89 0.97

fraction 80

Recall 0.70 0.94 0.96 0.74 0.90 0.94 0.89 0.94 0.97

Precision 0.57 0.94 0.96 0.74 0.90 0.88 0.88 0.94 0.97

fraction 100

Recall 0.82 0.94 0.94 0.77 0.96 0.95 0.96 0.95 0.96

Precision 0.56 0.94 0.94 0.77 0.96 0.89 0.96 0.95 0.96

Proteomics data set P2

fraction 00

Recall 0.23 0.62 0.77 0.07 0.65 0.70 0.58 0.63 0.56

Precision 0.07 0.49 0.65 0.05 0.49 0.31 0.44 0.53 0.49

fraction 20

Recall 0.67 0.87 0.92 0.57 0.84 0.89 0.86 0.81 0.93

Precision 0.24 0.71 0.77 0.42 0.70 0.55 0.66 0.69 0.78

fraction 40

Recall 0.44 0.79 0.76 0.60 0.71 0.72 0.72 0.74 0.78

Precision 0.26 0.76 0.74 0.41 0.69 0.56 0.69 0.73 0.77

fraction 80

Recall 0.73 0.60 0.80 0.65 0.58 0.64 0.49 0.61 0.61

Precision 0.34 0.56 0.70 0.44 0.56 0.50 0.45 0.58 0.61

fraction 100

Recall 0.82 0.80 0.90 0.63 0.85 0.95 0.85 0.85 0.88

Precision 0.39 0.64 0.75 0.44 0.69 0.65 0.69 0.71 0.75

Metabolomics data sets

M1

Recall 0.27 0.92 0.87 - 0.88 0.98 0.94 0.90 0.91

Precision 0.46 0.73 0.69 - 0.70 0.60 0.70 0.74 0.74

M2

Recall 0.23 0.98 0.93 - 0.93 0.97 0.98 0.98 0.98

Precision 0.47 0.84 0.79 - 0.79 0.58 0.78 0.83 0.83