The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Basic R-Usage Guide for PTXQC

This vignette serves as a quickstart guide for R users to create a report from within R using PTXQC.

Target Audience: R users

Reports can be generated using the default configuration of PTXQC. See

vignette("PTXQC-InputData", package = "PTXQC")

how a txt folder should look like.

Generate a default report

This is the most simple invokation of PTXQC::createReport().

require(PTXQC)

## the next require() is needed to prevent a spurious error in certain R versions (might be a bug in R or a package)
## error message is:
##    Error in Scales$new : could not find function "loadMethod"
require(methods)

## specify a path to a MaxQuant txt folder
## Note: This folder needs to be complete (see 'vignette("PTXQC-InputData", package = "PTXQC")')
if (1) {
  ## we will use an example dataset from PRIDE (dataset 2 of the PTXQC publication)
  local_zip = tempfile(fileext=".zip")
  tryCatch({
    download.file("ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2015/11/PXD003133/txt_20min.zip", destfile = local_zip)
  }, error = function(err) {
    ## on Windows, one can get a 'cannot open URL' using the default method. So we try another
    download.file("ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2015/11/PXD003133/txt_20min.zip", destfile = local_zip, method= "internal")
    
  })
  unzip(local_zip, exdir = tempdir()) ## extracts content
  txt_folder = file.path(tempdir(), "txt_20min")
} else {
  ## if you have local MaxQuant output, just use it
  txt_folder = "c:/Proteomics/MouseLiver/combined/txt"
}

r = createReport(txt_folder)

cat(paste0("\nReport generated as '", r$report_file, "'\n\n"))

Generate a customized report

The report can be customized via a YAML configuration file. For details, see

vignette("PTXQC-CustomizeReport", package = "PTXQC")

After editing the YAML configuration to your needs, run the code below.

require(PTXQC)
require(yaml)

## the next require() is needed to prevent a spurious error in certain R versions (might be a bug in R or a package)
## error message is:
##    Error in Scales$new : could not find function "loadMethod"
require(methods)

## specify a path to a MaxQuant txt folder
## Note: This folder can be incomplete, depending on your YAML config
if (1) {
  ## we will use an example dataset from PRIDE (dataset 2 of the PTXQC publication)
  local_zip = tempfile(fileext=".zip")
  download.file("ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2015/11/PXD003133/txt_20min.zip", destfile = local_zip)
  unzip(local_zip, exdir = tempdir()) ## extracts content
  txt_folder = file.path(tempdir(), "txt_20min")
} else {
  ## if you have local MaxQuant output, just use it
  txt_folder = "c:/Proteomics/MouseLiver/combined/txt"
}

## use a YAML config inside the target directory if present
fh_out = getReportFilenames(txt_folder)
if (file.exists(fh_out$yaml_file))
{
  cat("\nUsing YAML config already present in target directory ...\n")
  yaml_config = yaml.load_file(input = fh_out$yaml_file)
} else {
  cat("\nYAML config not found in folder '", txt_folder, "'. The first run of PTXQC will create one for you.", sep="")
  yaml_config = list()
}

r = createReport(txt_folder, mztab_file = NULL, yaml_obj = yaml_config)

cat(paste0("\nReport generated as '", r$report_file, "'\n\n"))

That’s it.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.