Table 3

Statistics for the current S. cerevisiae PeptideAtlas


Plimit = 0.9, Nobs > 0
Plimit = 0.95, Nobs > 0
Plimit = 0.99, Nobs > 0
Plimit = 0.9, Nobs > 1
Plimit = 0.95, Nobs > 1
Plimit = 0.99, Nobs > 1

# Experiments
47
47
47
47
47
47
# MS runs
2,579
2,579
2,579
2,579
2,579
2,579
# MS/MS
4.9 M
4.9 M
4.9 M
4.9 M
4.9 M
4.9 M
# MS/MS with P ≥ Plimit
600,960
565,217
472,234
586,708
552,434
461,827
# Distinct peptides with P ≥ Plimit
36,133
33,377
27,909
21,840
21,646
20,251
# Distinct peptides with perfect SGD alignment
35,434
32,790
27,499
21,469
21,281
19,942
# SGD ORFs seen in PeptideAtlas
4,249 (62%)
3,903 (57%)
3,476 (51%)
3,069 (45%)
3,049 (45%)
2,935 (43%)
# SGD ORFs unambiguously seen in PeptideAtlas
3,980 (59%)
3644 (54%)
3,224 (47%)
2,795 (41%)
2,778 (41%)
2,672 (39%)

The percentage of SGD ORFs seen in PeptideAtlas is shown as a function of lower limit PeptideProphet probabilities and number of times peptide has been observed above lower limit. Using the most generous parameters of the build, we see 62% of the SGD ORFs. As an aside, 68% of SGD ORFs have Systematic gene names and we observe 76% of those. This is comparable to the 83% of ORFs with Systematic gene names that Ghaemmaghami et al. [14] observed in their protein expression study.

King et al. Genome Biology 2006 7:R106   doi:10.1186/gb-2006-7-11-r106

Open Data