artmsQualityControlEvidenceExtended {artMS} | R Documentation

## Extended Quality Control of the MaxQuant evidence.txt file

### Description

Performs quality control based on the information available in the MaxQuant `evidence.txt` file.

### Usage

    artmsQualityControlEvidenceExtended(
      evidence_file,
      keys_file,
      isSILAC = FALSE,
      plotPSM = TRUE,
      plotIONS = TRUE,
      plotTYPE = TRUE,
      plotPEPTIDES = TRUE,
      plotPROTEINS = TRUE,
      plotPIO = TRUE,
      plotCS = TRUE,
      plotME = TRUE,
      plotMOCD = TRUE,
      plotPEPICV = TRUE,
      plotPEPDETECT = TRUE,
      plotPROTICV = TRUE,
      plotPROTDETECT = TRUE,
      plotIDoverlap = TRUE,
      plotIC = TRUE,
      plotSP = TRUE,
      printPDF = TRUE,
      verbose = TRUE
    )

### Arguments

`evidence_file` | (char or data.frame) The evidence file path and name, or data.frame
`keys_file` | (char or data.frame) The keys file path and name or data.frame
`isSILAC` | if `TRUE` processes SILAC input files. Default is `FALSE`
`plotPSM` | (logical) `TRUE` generates peptide-spectrum-matches (PSMs) statistics plot: Page 1 shows the number of PSMs confidently identified in each BioReplicate. If replicates are present, Page 2 shows the mean number of PSMs per condition with error bar showing the standard error of the mean. Note that potential contaminant proteins are plotted separately.
`plotIONS` | (logical) `TRUE` generates peptide ion statistics plot: A peptide ion is defined in the context of m/z, in other words, an unique peptide sequence may give rise to multiple ions with different charge state and/or amino acid modification. Page 1 shows the number of ions confidently identified in each BioReplicate . If replicates are present, Page 2 shows the mean number of peptide ions per condition with error bar showing the standard error of the mean. Note that potential contaminant proteins are plotted separately.
`plotTYPE` | (logical) `TRUE` generates identification type statistics plot: MaxQuant classifies each peptide identification into different categories (e.g., MSMS, MULTI-MSMS, MULTI-SECPEP). Page 1 shows the distribution of identification type in each BioReplicate
`plotPEPTIDES` | (logical) `TRUE` generates peptide statistics plot: Page 1 shows the number of unique peptide sequences (disregard the charge state or amino acid modifications) confidently identified in each BioReplicate. If replicates are present, Page 2 shows the mean number of peptides per condition with error bar showing the standard error of the mean. Note that potential contaminant proteins are plotted separately. Pages 3 and 4 show peptide identification intersection between BioReplicates (the bars are ordered by degree or frequency, respectively), and Page 4 shows the intersections across conditions instead of BioReplicates.
`plotPROTEINS` | (logical) `TRUE` generates protein statistics plot: Page 1 shows the number of protein groups confidently identified in each BioReplicate. If replicates are present, Page 2 shows the mean number of protein groups per condition with error bar showing the standard error of the mean. Note that potential contaminant proteins are plotted separately. Pages 3 and 4 show peptide identification intersection between BioReplicates (the bars are ordered by degree or frequency, respectively), and Page 4 shows the intersections across conditions instead of BioReplicates.
`plotPIO` | (logical) `TRUE` generates oversampling statistics plot: Page 1 shows the proportion of all peptide ions (including peptides matched across runs) fragmented once, twice and thrice or more. Page 2 shows the proportion of peptide ions (with intensity detected) fragmented once, twice and thrice or more. Page 3 shows the proportion of peptide ions (with intensity detected and MS/MS identification) fragmented once, twice and thrice or more
`plotCS` | (logical) `TRUE` generates charge state plot: Page 1 shows the charge state distribution of PSMs confidently identified in each BioReplicate.
`plotME` | (logical) `TRUE` generates precursor mass error plot: Page 1 shows the distribution of precursor error for all PSMs confidently identified in each BioReplicate.
`plotMOCD` | (logical) `TRUE` generates precursor mass-over-charge plot: Page 1 shows the distribution of precursor mass-over-charge for all PSMs confidently identified in each BioReplicate.
`plotPEPICV` | (logical) `TRUE` generates peptide intensity coefficient of variance (CV) plot: The CV is calculated for each feature (peptide ion) identified in more than one replicate. Page 1 shows the distribution of CV's for each condition, while Page 2 shows the distribution of CV's within 4 bins of intensity (i.e., 4 quantiles of average intensity).
`plotPEPDETECT` | (logical) `TRUE` generates peptide detection frequency plot: Page 1 summarizes the frequency that each peptide is detected across BioReplicates of each condition, showing the percentage of peptides detected once, twice, thrice, and so on (for whatever number of replicates each condition has).
`plotPROTICV` | (logical) `TRUE` generates protein intensity coefficient of variance (CV) plot: The CV is calculated for each protein (after summing the peptide intensities) identified in more than one replicate. Page 1 shows the distribution of CV's for each condition, while Page 2 shows the distribution of CV's within 4 bins of intensity (i.e., 4 quantiles of average intensity).
`plotPROTDETECT` | (logical) `TRUE` generates protein detection frequency plot: Page 1 summarizes the frequency that each protein group is detected across BioReplicates of each condition, showing the percentage of proteins detected once, twice, thrice, and so on (for whatever number of replicates each condition has). Page 2 shows the feature (peptide ion) intensity distribution within each BioReplicate (potential contaminant proteins are plot separately). Page 3 shows the density of feature intensity for different feature types (i.e., MULTI-MSMS, MULTI-SECPEP).
`plotIDoverlap` | (logical) `TRUE` generates pairwise identification heatmap overlap: Pages 1 and 2 show pairwise peptide and protein overlap between any 2 BioReplicates, respectively.
`plotIC` | (logical) `TRUE` generates pairwise intensity correlation: Page 1 and 3 show pairwise peptide and protein intensity correlation and scatter plot between any 2 BioReplicates, respectively. Page 2 and 4 show principal component analysis at the intensity level for both peptide and proteins, respectively.
`plotSP` | (logical) `TRUE` generates sample quality metrics: Page 1 shows missing cleavage distribution of all peptides confidently identified in each BioReplicate. Page 2 shows the fraction of peptides with at least one methionine oxidized in each BioReplicate.
`printPDF` | If `TRUE` (default) prints out the pdfs. Warning: plot objects are not returned due to the large number of them.
`verbose` | (logical) `TRUE` (default) shows function messages

### Details

all the plots are generated by default

### Value

A number of QC plots based on the evidence file

### Examples

    # Testing warning if files are not submitted
    test <- artmsQualityControlEvidenceExtended(evidence_file = NULL,
    keys_file = NULL)

[Package artMS version 1.4.3 Index]