Quality Report Generation for MaxQuant Results

Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (see < http://www.maxquant.org>). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) .

PTXQC

This package allows users of MaxQuant to generate quality control reports in Html/PDF format.

**Latest: **

• v0.92.00 - Oct 2017: cleaner R interface; log file for drag'n'drop; fix boxPlots issue (usually for large experiments only);
• v0.91.00 - Oct 2017: fix issues #39 (barcharts); #40 (custom contaminant plot)
• v0.90.00 - Aug 2017: Tables are shown in Html format
• v0.82.06 - Jun 2017: Special contaminants fix (issue #34)

See NEWS file for a version history.

Platform support

• Windows (recommended for convenience to make use of the drag'n'drop batch file provided)
• Linux
• MacOSX

Features

• plethora of quality metrics
  • intensity distributions
  • digestion efficiency
  • contaminant visualizations
  • identification performance
  • Match-between-runs performance
• easy usage ([Windows OS only] drag'n'drop your txt output folder onto a batch file)
  • 10 min Installation
• Html/PDF report will be generated within your MaxQuant-txt folder
• optional configuration file in YAML format for generation of shorter/customized reports

Target audience

• MaxQuant users (no knowledge of R required)
• bioinformaticians (who want to contribute or customize)

Documentation

Besides this documentation on GitHub, the package vignettes of PTXQC will give you valuable information. After the package is installed (see below), you can browse the vignettes using either of these commands within R:

help(package="PTXQC")
browseVignettes(package = 'PTXQC')

If you do not want to wait that long, have a look at the 'vignettes' subfolder. The top part contains a small table with technical gibberish, but the rest is identical to the vignettes you would see in R.

You will find documentation on

• Input and Output
• Report customization
• (for MaxQuant users) Usage of Drag'n'drop
• (for R users) code examples in R

Installation

If you want to generate QC reports without actually getting involved in R:

We offer a Batch-file based Drag'n'drop mechanism to trigger PTXQC on any MaxQuant output folder. This only works for Windows (not Linux or MacOS) at the moment -- but you have a Windows anyway to run MaxQuant, right?! See drag'n'drop for details. It takes 10 minutes and you are done!

If you just want the package to use (and maybe even modify) it:

First, install pandoc (see bottom of linked page). Pandoc is required in order to locally build the package vignettes (documentation), but you can also read the vignettes online from the PTXQC GitHub page. More importantly, Pandoc enables PTXQC to write QC reports in HTML format (which come with a help text for each plot and are interactive). PDF reports only contain plots! The reports are printed as PDF by default and additionally as HTML if Pandoc is found. If you install Pandoc later while your R session is already open, you need to close and re-open R in order to make R aware of Pandoc!

You can grab PTXQC from either CRAN or GitHub. GitHub installation will give you the latest package; the CRAN version might be a little older, but is faster to install. Check the NEWS file for CRAN submissions and version.

If an error should occur, this allows to track it down more easily. See FAQ - Installation how to resolve them.

## CRAN
install.packages("PTXQC")

or

## GitHub
if (!require(devtools, quietly = TRUE)) install.packages("devtools")
library("devtools")             ## this might give a warning like 'WARNING: Rtools is required ...'. Ignore it.

## use build_vignettes = FALSE if you did not install pandoc or if you encounter errors when building vignettes (e.g. PRIDE ftp unavailable)!
install_github("cbielow/PTXQC", build_vignettes = TRUE, dependencies = TRUE)

To get started, see the help and/or vignettes:

help(package="PTXQC")
browseVignettes(package = 'PTXQC')

Please feel free to report bugs (see below), or issue pull requests!

Report Examples

An overview chart at the beginning of the report will give you a first impression.
Detailed plots can be found in the remainder of each report.

For example input data and full reports, see the 'inst/examples' subfolder.

Bug reporting / Feature requests

If you encounter a bug, e.g. error message, wrong figures, missing axis annotation or anything which looks suspicious, please use the GitHub issue tracker and file a report.

You should include

• stage you encounter the bug, e.g. during installation, report creation, or after report creation (i.e. a bug in the report itself).
• PDF/Html report itself (if one was generated).
• version of PTXQC, e.g. see the report_XXX.pdf/html (where XXX will be the version) or see the DESCRIPTION file of the PTXQC package or call help(package="PTXQC") within R
• error message (very important!). Either copy it or provide a screen shot.

Please be as precise as possible when providing the bug report - just imagine what kind of information you would like to have in order to track down the issue. In certain situations, the whole txt-folder or a single MaxQuant file might be helpful to solve the problem.

If you want to see a new metric, or have ideas how to improve the existing ones, just open an issue ticket and leave a description.

Citation

PTXQC is published at JPR:

Proteomics Quality Control: Quality Control Software for MaxQuant Results Chris Bielow, Guido Mastrobuoni, and Stefan Kempa J. Proteome Res., 2016, 15 (3), pp 777–787. DOI: 10.1021/acs.jproteome.5b00780

Use PTXQC v0.69.3 if you want the version which was used in the paper, i.e. use install_github(..., ref="v0.69.3") when following the Installation procedure.

The input data is available in the 'inst/examples' subfolder.

We recommend to use the most recent PTXQC for the best user experience.