Quantitator takes peptide sequence and retention time information in the form of PeptideProphet pepXML or Scaffold spectrum reports, LC-MS mass spectra in mzXML format, and a user-created parameter file as inputs. For each peptide in the pepXML or spectrum report, Quantitator estimates the signal intensity derived from each isotopic labeling group as defined by the labeling strategy, and reports these estimates along with the estimated standard error and other statistical data.
The documentation for Quantitator is in progress. For prompt assistance, please contact me directly at email@example.com.
The most recent version of the source can be checked out via git at bitbucket.
Quantitator depends on the boost (including compiled libraries), expat, and libarchive libraries. These are ordinarily present on modern Linux/UNIX distributions, but you may need to install the development headers to compile Quantitator. Alternatively, try using the statically linked binary.
If the dependencies are met and gcc knows where to find the libraries, Quantitator should compile successfully by issuing the command "make" from within the src directory.
It is very important that the "lib" folder included in the source be in the same directory as the compiled Quantitator executable. This folder contains the amino acid definition and isotope distribution files.
Quantitator requires peptide identifications in either the PeptideProphet pepXML or Scaffold spectrum report formats. Only one peptide identification input is allowed at a time.
To generate a pepXML for Quantitator, I recommend using Trans-Proteomic Pipeline to convert the search results (e.g. from Mascot, Sequest, XTandem etc.) first to individual pepXML files, then PeptideProphet (also in TPP) to select high confidence identifications and merge into one pepXML file, usually named "interact.pep.xml".
Alternatively, Scaffold can be used to generate a spectrum report, which contains information for all the identified spectra after combining search results.
Finally, in the working directory for the experiment, all the mzXML LCMS(MS) files should be put in one sub-directory, and the pepXML or spectrum report file should be put in another.
Quantitator takes an XML-formatted parameter file. An example file is provided with the source (src/ParameterTemplate.xml), as well as in the TestData folder.
Quantitator is currently able to quantify SILAC, 18O, 18O-phosphate, 15N, and label-free experiments. SILAC parameters can be specified (by amino acid residue, mass shift, and isotope enrichment formula).
A testing dataset has been provided with the source. To test Quantitator, issue the following command from the TestData directory:
/path/to/compiled/Quantitator -f TestDataParams.xml
If Quantitator is correctly installed, the file TestData/QuantFiles/TestQuantOutput.qtsv will be identical to the file TestData/N14N15_SCX07_Reference.quant.tsv:
diff N14N16_SCX07_Reference.quant.tsv QuantFiles/TestQuantOutput.qtsv
Several types of output files are produced by Quantitator, as specified by the "quantOutputFile", "eluteDetailsFile", and "regressionDetailsFile" attributes in the parameter file.
Each row of the quantOutputFile contains information for one quantification/labeling class of one identified peptide. For example, for 18O labeling there are 3 quantification classes: 0-18O, 1-18O, and 2-18O. Each row specifies the following information, as indicated by the header: identifying fragmentation spectrum, peptide sequence, protein accession number, quantification class, estimated signal intensity, standard error of the estimate, and intensity-weighted retention time.
The eluteDetailsFile contains one row for each peptide quantified in each spectrum. This file is optional, to avoid generating it simply omit the attribute from the parameter file.
For manual validation of quantifications and to produce figures for individual peptides, the regressionDetailsFile provide the extracted signal associated with each peptide, as well as theoretical isotope distributions. The included R script (TestData/PeptideReport.R) should be helpful for parsing these files into plots. This file is also optional.
Copyright (c) 2011, Jonathan Goya
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