| OpenMS 2.5.0

Modules | Classes
Analysis

High-level analysis like PeakPicking, Quantitation, Identification, MapAlignment. More...

## Modules

| SignalProcessing
| Signal processing classes (noise estimation, noise filters, baseline filters)
| PeakPicking
| Classes for the transformation of raw ms data into peak data.
| FeatureFinder
| The feature detection algorithms.
| MapAlignment
| The map alignment algorithms.
| FeatureGrouping
| The feature grouping.
| Identification
| Protein and peptide identification classes.
| Clustering
| This class contains SpectraClustering classes These classes are components for clustering all kinds of data for which a distance relation, normalizable in the range of [0,1], is available. Mainly this will be data for which there is a corresponding CompareFunctor given (e.g. PeakSpectrum) that is yielding the similarity normalized in the range of [0,1] of such two elements, so it can easily converted to the needed distances.

## Classes

class | FeatureDeconvolution
| An algorithm to decharge features (i.e. as found by FeatureFinder). More...
class | MetaboliteFeatureDeconvolution
| An algorithm to decharge small molecule features (i.e. as found by FeatureFinder). More...
class | PeakIntensityPredictor
| Predict peak heights of peptides based on Local Linear Map model. More...

## Detailed Description

High-level analysis like PeakPicking, Quantitation, Identification, MapAlignment.