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. Author manuscript; available in PMC: 2009 Jan 1.
Published in final edited form as: J Proteome Res. 2007 Dec 8;7(1):113–122. doi: 10.1021/pr070361e

Table 3.

Running time statistics. MS/MS samples were selected from Human, Shewanella, Dictyostelium and Yeast datasets. The results are shown in two modes: without clustering, and clustering using default values. The table holds the sizes of the original MS/MS datasets and the sequence databases used for identifications. For each experiment the table also holds the run-time (in cpu hours), and the relative speed-up factor achieved by clustering vs. the non-clustered search. The runtime was measured on a 3.0GHz desktop PC with 2GB of RAM.

Dataset Database size (amino acids) Dataset size (# spectra) Experiment type Run Time (cpu hours)
Speed-up
clustering search total
Human (1 run) 26.7 M 0.793 M Non-clustered - 132.2 132.2
Clustered 0.77 56.6 57.4 2.3
Human (5 runs) 26.7 M 4.0 M Non-clustered - 664.3 664.3
Clustered 6.4 107.4 113.8 5.8
Human (14 runs) 26.7 M 11.4 M Non-clustered - 1812.7 1812.7
Clustered 24.3 308.2 332.5 5.5
Shewanella 1.45 M 14.5 M Non-clustered - 286.3 286.3
Clustered 26.8 28.5 55.3 5.2
Dictyostelium 7.36 M 1.4 M Non-clustered - 78.6 78.6
Clustered 2.3 39.3 41.6 1.9
Yeast 4.9 M 0.179 M Non-Clustered - 7.5 7.5
Clustered 0.1 3.5 3.6 2.1