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Table 1 Peptide identification features and their InfoGain (Rank) with respect to each data set

From: An Unsupervised, Model-Free, Machine-Learning Combiner for Peptide Identifications from Tandem Mass Spectra

Search engine

Feature

S17

AURUM

OMICS

Precursor m/z

0.00 (24)

0.01 (21)

0.10 (18)

Charge state

0.20 (13)

0.00 (25)

0.02 (24)

Peptide molecular weight

0.09 (22)

0.01 (21)

0.33 (6)

Molecular weight delta

0.28 (5)

0.29 (11)

0.14 (14)

Peptide length

0.02 (23)

0.00 (25)

0.09 (19)

# of agreeing search engines

0.36 (1)

0.39 (7)

0.38 (3)

Missed cleavages

0.09 (20)

0.09 (19)

0.07 (20)

# Tryptic termini

0.00 (24)

0.00 (23)

0.00 (25)

Tryptic N-terminal

0.00 (24)

0.00 (23)

0.00 (25)

Tryptic C-terminal

0.00 (24)

0.00 (25)

0.00 (27)

Tandem

# of matched b-ions

0.14 (16)

0.28 (12)

0.10 (17)

b-ion score

0.16 (14)

0.20 (15)

0.07 (20)

E-value

0.31 (4)

0.48 (1)

0.26 (7)

Hyperscore

0.27 (8)

0.46 (2)

0.20 (9)

Sum of matched intensity

0.12 (17)

0.21 (14)

0.13 (15)

# of matched y-ions

0.24 (10)

0.39 (8)

0.14 (13)

y-ion score

0.21 (12)

0.25 (13)

0.17 (11)

Sentinel

0.12 (18)

0.16 (16)

0.07 (23)

Mascot

E-value

0.32 (2)

0.43 (3)

0.33 (5)

# of matched peaks

0.16 (15)

0.16 (17)

0.11 (16)

# of matched ions

0.27 (9)

0.33 (10)

0.17 (10)

Score

0.32 (3)

0.42 (4)

0.33 (4)

Sentinel

0.09 (21)

0.13 (18)

0.07 (22)

OMSSA

E-value

0.27 (7)

0.40 (5)

0.41 (2)

# of matched ions

0.21 (11)

0.35 (9)

0.25 (8)

p value

0.28 (6)

0.40 (6)

0.41 (1)

Sentinel

0.09 (19)

0.09 (19)

0.14 (12)