OpenMS  2.5.0
TOPP documentation

'TOPP - The OpenMS Proteomics Pipeline' is a pipeline for the analysis of HPLC-MS data. It consists of several small applications that can be chained to create analysis pipelines tailored for a specific problem.

The TOPP tools are divided into several subgroups:

Graphical Tools

  • TOPPView - A viewer for mass spectrometry data.
  • TOPPAS - An assistant for GUI-driven TOPP workflow design.
  • INIFileEditor - An editor for OpenMS configuration files.

File Handling

  • DTAExtractor - Extracts spectra of an MS run file to several files in DTA format.
  • FileConverter - Converts between different MS file formats.
  • FileFilter - Extracts or manipulates portions of data from peak, feature or consensus feature files.
  • FileInfo - Shows basic information about the file, such as data ranges and file type.
  • FileMerger - Merges several MS files into one file.
  • IDMerger - Merges several protein/peptide identification files into one file.
  • IDRipper - Splits protein/peptide identifications according their file-origin.
  • IDFileConverter - Converts identification engine file formats.
  • MapStatistics - Extract extended statistics on the features of a map for quality control.
  • TargetedFileConverter - Converts targeted files (such as tsv or TraML files).
  • TextExporter - Exports various XML formats to a text file.
  • MzTabExporter - Exports various XML formats to an mzTab file.

Signal Processing and Preprocessing

Quantitation

  • Decharger - Decharges and merges different feature charge variants of the same chemical entity.
  • EICExtractor - Quantifies signals at given positions in (raw or picked) LC-MS maps.
  • FeatureFinderCentroided - Detects two-dimensional features in centroided LC-MS data.
  • FeatureFinderIdentification - Detects two-dimensional features in MS1 data based on peptide identifications.
  • FeatureFinderIsotopeWavelet - Detects two-dimensional features in uncentroided (=raw) LC-MS data.
  • FeatureFinderMetabo - Detects two-dimensional features in centroided LC-MS data of metabolites.
  • FeatureFinderMRM - Quantifies features LC-MS/MS MRM data.
  • FeatureFinderMultiplex - Identifies peptide multiplets (pairs, triplets etc., e.g. for SILAC or Dimethyl labeling) and determines their relative abundance.
  • IsobaricAnalyzer - Extracts and normalizes TMT and iTRAQ information from an MS experiment.
  • ProteinQuantifier - Computes protein abundances from annotated feature/consensus maps.
  • ProteinResolver - A peptide-centric algorithm for protein inference.
  • SeedListGenerator - Generates seed lists for feature detection.
  • MetaProSIP - Detect labeled peptides from protein-SIP experiments.
  • ProteomicsLFQ - Perform label-free quantification in a single tool.

Map Alignment

Protein/Peptide Identification

  • CometAdapter - Identifies MS/MS spectra using Comet (external).
  • CompNovo - Performs a peptide/protein identification with the CompNovo engine.
  • CompNovoCID - Performs a peptide/protein identification with the CompNovo engine in CID mode.
  • CruxAdapter - Identifies peptides in MS/MS spectra via Crux and tide-search (external).
  • InspectAdapter - Identifies MS/MS spectra using Inspect (external).
  • MascotAdapter - Identifies MS/MS spectra using Mascot (external).
  • MascotAdapterOnline - Identifies MS/MS spectra using Mascot (external).
  • MSGFPlusAdapter - Identifies MS/MS spectra using MSGFPlus (external).
  • MyriMatchAdapter - Identifies MS/MS spectra using MyriMatch (external).
  • OMSSAAdapter - Identifies MS/MS spectra using OMSSA (external).
  • PepNovoAdapter - Identifies MS/MS spectra using PepNovo (external).
  • SpecLibSearcher - Identifies peptide MS/MS spectra by spectral matching with a searchable spectral library.
  • SimpleSearchEngine - A simple database search engine for annotating MS/MS spectra.
  • XTandemAdapter - Identifies MS/MS spectra using XTandem (external).

Protein/Peptide Processing

  • ConsensusID - Computes a consensus identification from peptide identifications of several identification engines.
  • FalseDiscoveryRate - Estimates the false discovery rate on peptide and protein level using decoy searches.
  • FidoAdapter - Runs the protein inference engine Fido.
  • IDConflictResolver - Resolves ambiguous annotations of features with peptide identifications.
  • IDFilter - Filters results from protein or peptide identification engines based on different criteria.
  • IDMapper - Assigns protein/peptide identifications to feature or consensus features.
  • IDPosteriorErrorProbability - Estimates posterior error probabilities using a mixture model.
  • IDRTCalibration - Can be used to calibrate RTs of peptide hits linearly to standards.
  • LuciphorAdapter - Scores potential phosphorylation sites in order to localize the most probable sites.
  • PeptideIndexer - Refreshes the protein references for all peptide hits.
  • PhosphoScoring - Scores potential phosphorylation sites in order to localize the most probable sites.
  • ProteinInference - Infer proteins from a list of (high-confidence) peptides.
  • PercolatorAdapter - Applies the percolator algorithm to protein/peptide identifications.

Targeted Experiments and OpenSWATH

Peptide Property Prediction

  • PTModel - Trains a model for the prediction of proteotypic peptides from a training set.
  • PTPredict - Predicts the likelihood of peptides to be proteotypic using a model trained by PTModel.
  • RTModel - Trains a model for the retention time prediction of peptides from a training set.
  • RTPredict - Predicts retention times for peptides using a model trained by RTModel.

Misc