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. 2010 Feb 10;11(Suppl 1):S13. doi: 10.1186/1471-2164-11-S1-S13

Table 2.

Performance of the MSCleaner version 2.0 over a large test set.

A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 A14 A15 A16
alphaAmyl_col1 10108 633 24 11.30 667 24 31.65 60.07 667 24 15.13 51.09 667 24 18.07
alphaAmyl_col2 10184 698 35 9.82 780 35 34.20 50.22 780 35 19.05 20.25 780 35 22.76
AmylGlu_col1 10030 736 28 13.26 761 28 28.40 79.24 761 28 8.66 73.58 761 28 10.63
AmylGlu_col2 9870 801 36 13.31 860 37 29.50 72.62 860 37 11.70 63.95 860 37 14.29
apo_col1 10032 2606 63 11.72 2814 63 30.76 63.10 2814 63 13.93 54.49 2814 63 16.78
apo_col2 10090 2571 60 12.13 2761 60 32.95 53.12 2761 60 17.53 44.32 2761 60 21.03
betaGal_col1 10324 1459 56 7.17 1567 57 34.98 48.06 1567 57 22.05 40.53 1567 57 24.60
betaGal_col2 10368 1309 51 8.12 1508 56 36.71 42.90 1454 55 24.76 33.10 1454 55 28.61
CarAnly_col1 9946 586 49 12.35 616 49 26.35 90.31 573 49 3.65 84.94 607 49 5.48
CarAnly_col2 9534 582 52 13.40 616 52 26.27 86.07 616 52 5.08 78.44 616 52 7.66
Cat_col1 10098 1798 61 11.13 1886 61 30.88 67.26 1879 61 13.13 57.89 1879 61 16.50
Cat_col2 10034 1567 65 11.78 1693 65 31.90 59.50 1693 65 15.91 48.55 1693 65 19.56
phosB_col1 10118 2780 59 10.30 3079 61 35.13 63.49 3014 60 14.26 54.46 3047 61 17.25
phosB_col2 10096 2655 61 10.52 3116 65 32.58 53.96 3084 65 17.58 44.31 3116 65 21.16
GluDey_col1 10006 892 36 11.29 986 36 27.30 79.55 986 36 7.75 73.42 986 36 9.71
GluDey_col2 9886 850 34 11.81 962 34 28.73 72.51 962 34 10.13 62.25 962 34 13.51
GluTra_col1 10022 351 25 10.36 389 25 28.61 71.64 348 25 10.25 62.78 389 25 14.30
GluTra_col2 10156 341 33 9.18 384 33 31.31 61.15 384 33 14.25 49.59 384 33 28.11
Immo_col1 10330 506 35 9.27 565 35 36.20 42.30 565 35 24.95 34.44 565 35 27.66
Immo_col2 10334 356 66 8.61 500 66 38.05 37.06 500 66 27.31 28.47 500 66 30.31
LacDe_col1 10286 1549 58 10.36 1694 58 35.36 53.20 1694 58 20.03 44.86 1694 58 23.15
LacDe_col2 10250 1346 54 9.07 1483 54 36.48 40.16 1483 54 25.60 31.67 1483 54 28.31
LactoPee_col1 10242 1613 45 13.16 1764 45 34.78 62.12 1756 45 15.91 52.37 1764 45 19.53
LactoPee_col2 10402 1679 43 9.09 1890 44 35.18 51.70 1890 44 20.31 41.76 1890 44 23.85
Myo_col1 9958 561 66 11.67 594 66 27.26 85.42 594 66 5.46 79.25 594 66 7.45
Myo_col2 9744 530 66 12.15 584 66 28.01 80.83 584 66 6.95 70.92 584 66 10.35

A1 name of test set (.mgf file; see Methods),

A2 total number of spectra (.dta files),

A3 MASCOT score of top protein hit with the original .mgf file

(without application of MS Cleaner),

A4 sequence coverage (in %) without application of MS Cleaner,

A5 fraction of non-interpretable "bad" spectra found with sequence ladder

length n = 4 among all peaks (intensity threshold s = 100%)

A6 MASCOT score of the top protein hit for this search,

A7 sequence coverage (in % of the whole protein length) for this search,

A8 MS Cleaner processing time (in min) on a PC with a single Pentium IV (to

achieve exact time consumption values, we did not use the cluster version and

stopped the "soft frequency recognition option")

A9 fraction of non-interpretable "bad" spectra found with sequence ladder

length n = 4 among the s = 20% most intense peaks

A10 MASCOT score of the top protein hit for this search,

A11 sequence coverage (in % of the whole protein length) for this search,

A12 MS Cleaner processing time (in min),

A13 fraction of non-interpretable "bad" spectra found with sequence ladder

length n = 4 among the s = 25% most intense peaks (in % of A2; i.e.,

of all spectra)

A14 MASCOT score of the top protein hit for this search,

A15 sequence coverage (in % of the whole protein length) for this MASCOT

search,

A16 MS Cleaner processing time on the same machine as described in the legend of

Table 1 (in min).

The sequence ladder criterion (minimal ladder length 4 with varying peak intensity thresholds) and the noise suppression algorithms of MS Cleaner 2.0 have been applied over a large set of tandem MS results. For each of the test proteins, two independent sample preparations and dataset recordings (marked with appendices _col1 and _col2 in the dataset name) were carried out: α-amylase, amylogucosidase, apo-transferrin, β-galactidase, carbonic anhydrase, catalase, phosphorylase B, glutamic dehydrogenase, glutathione transferase, immunoglobulin γ, lactic dehydrogenase, lactoperoxidase, myoglobin). For these datasets, the MASCOT interpretation was carried out on a cluster in parallel with other jobs; therefore, no computation time is provided.