A data.frame
with 1088 observations and 139 variables, as
produced by reading a MaxQuant output file with
read.delim()
.
Sequence: a character vector
Length: a numeric vector
Modifications: a character vector
Modified.sequence: a character vector
Deamidation..N..Probabilities: a character vector
Oxidation..M..Probabilities: a character vector
Deamidation..N..Score.Diffs: a character vector
Oxidation..M..Score.Diffs: a character vector
Acetyl..Protein.N.term.: a numeric vector
Deamidation..N.: a numeric vector
Oxidation..M.: a numeric vector
Missed.cleavages: a numeric vector
Proteins: a character vector
Leading.proteins: a character vector
protein: a character vector
Gene.names: a character vector
Protein.names: a character vector
Type: a character vector
Set: a character vector
MS.MS.m.z: a numeric vector
Charge: a numeric vector
m.z: a numeric vector
Mass: a numeric vector
Resolution: a numeric vector
Uncalibrated...Calibrated.m.z..ppm.: a numeric vector
Uncalibrated...Calibrated.m.z..Da.: a numeric vector
Mass.error..ppm.: a numeric vector
Mass.error..Da.: a numeric vector
Uncalibrated.mass.error..ppm.: a numeric vector
Uncalibrated.mass.error..Da.: a numeric vector
Max.intensity.m.z.0: a numeric vector
Retention.time: a numeric vector
Retention.length: a numeric vector
Calibrated.retention.time: a numeric vector
Calibrated.retention.time.start: a numeric vector
Calibrated.retention.time.finish: a numeric vector
Retention.time.calibration: a numeric vector
Match.time.difference: a logical vector
Match.m.z.difference: a logical vector
Match.q.value: a logical vector
Match.score: a logical vector
Number.of.data.points: a numeric vector
Number.of.scans: a numeric vector
Number.of.isotopic.peaks: a numeric vector
PIF: a numeric vector
Fraction.of.total.spectrum: a numeric vector
Base.peak.fraction: a numeric vector
PEP: a numeric vector
MS.MS.count: a numeric vector
MS.MS.scan.number: a numeric vector
Score: a numeric vector
Delta.score: a numeric vector
Combinatorics: a numeric vector
Intensity: a numeric vector
Reporter.intensity.corrected.0: a numeric vector
Reporter.intensity.corrected.1: a numeric vector
Reporter.intensity.corrected.2: a numeric vector
Reporter.intensity.corrected.3: a numeric vector
Reporter.intensity.corrected.4: a numeric vector
Reporter.intensity.corrected.5: a numeric vector
Reporter.intensity.corrected.6: a numeric vector
Reporter.intensity.corrected.7: a numeric vector
Reporter.intensity.corrected.8: a numeric vector
Reporter.intensity.corrected.9: a numeric vector
Reporter.intensity.corrected.10: a numeric vector
RI1: a numeric vector
RI2: a numeric vector
RI3: a numeric vector
RI4: a numeric vector
RI5: a numeric vector
RI6: a numeric vector
RI7: a numeric vector
RI8: a numeric vector
RI9: a numeric vector
RI10: a numeric vector
RI11: a numeric vector
Reporter.intensity.count.0: a numeric vector
Reporter.intensity.count.1: a numeric vector
Reporter.intensity.count.2: a numeric vector
Reporter.intensity.count.3: a numeric vector
Reporter.intensity.count.4: a numeric vector
Reporter.intensity.count.5: a numeric vector
Reporter.intensity.count.6: a numeric vector
Reporter.intensity.count.7: a numeric vector
Reporter.intensity.count.8: a numeric vector
Reporter.intensity.count.9: a numeric vector
Reporter.intensity.count.10: a numeric vector
Reporter.PIF: a logical vector
Reporter.fraction: a logical vector
Reverse: a character vector
Potential.contaminant: a logical vector
id: a numeric vector
Protein.group.IDs: a character vector
Peptide.ID: a numeric vector
Mod..peptide.ID: a numeric vector
MS.MS.IDs: a character vector
Best.MS.MS: a numeric vector
AIF.MS.MS.IDs: a logical vector
Deamidation..N..site.IDs: a numeric vector
Oxidation..M..site.IDs: a logical vector
remove: a logical vector
dart_PEP: a numeric vector
dart_qval: a numeric vector
razor_protein_fdr: a numeric vector
Deamidation..NQ..Probabilities: a logical vector
Deamidation..NQ..Score.Diffs: a logical vector
Deamidation..NQ.: a logical vector
Reporter.intensity.corrected.11: a logical vector
Reporter.intensity.corrected.12: a logical vector
Reporter.intensity.corrected.13: a logical vector
Reporter.intensity.corrected.14: a logical vector
Reporter.intensity.corrected.15: a logical vector
Reporter.intensity.corrected.16: a logical vector
RI12: a logical vector
RI13: a logical vector
RI14: a logical vector
RI15: a logical vector
RI16: a logical vector
Reporter.intensity.count.11: a logical vector
Reporter.intensity.count.12: a logical vector
Reporter.intensity.count.13: a logical vector
Reporter.intensity.count.14: a logical vector
Reporter.intensity.count.15: a logical vector
Reporter.intensity.count.16: a logical vector
Deamidation..NQ..site.IDs: a logical vector
input_id: a logical vector
rt_minus: a logical vector
rt_plus: a logical vector
mu: a logical vector
muij: a logical vector
sigmaij: a logical vector
pep_new: a logical vector
exp_id: a logical vector
peptide_id: a logical vector
stan_peptide_id: a logical vector
exclude: a logical vector
residual: a logical vector
participated: a logical vector
peptide: a character vector
data("mqScpData")
An object of class data.frame
with 1361 rows and 149 columns.
The dataset is a subset of the SCoPE2 dataset (version 2, Specht
et al. 2019,
BioRXiv). The
input file evidence_unfiltered.csv
was downloaded from a
Google Drive repository.
The MaxQuant evidence file was loaded and the data was cleaned
(renaming columns, removing duplicate fields,...). MS runs that
were selected in the scp1
dataset (see ?scp1
) were kept along
with a blank run. The data is stored as a data.frame
.
readSCP()
for an example on how mqScpData
is
parsed into a QFeatures object.