| OpenMS 2.5.0

Modules
Here is a list of all modules:
[detail level 1 2]

▼Concept | OpenMS concepts (types, macros, ...)
Class test macros | These macros are used by the test programs in the subdirectory `OpenMS/source/TEST`
Exceptions | Exceptions
Condition macros | Macros used for to enforce preconditions and postconditions
System | Very basic functionality like file system or stopwatch
Datastructures | Auxiliary datastructures
▼Math | Math functions and classes
Statistics functions | Various statistical functions
Misc functions | Math functions
▼Kernel | Kernel datastructures
ComparatorUtils | A collection of utilities for comparators
RangeUtils | Predicates for range operations
▼Format | IO classes
File IO | File IO classes
Metadata | Classes that capture meta data about a MS or HPLC-MS experiment
Chemistry |
Spectrum Comparison | The classes within this group are used to compare single spectra, by reporting a similarity value
▼Spectrum filters | This group contains filtering classes for spectra
Spectra Preprocessors | The spectra preprocessors filter the spectra with different criteria
Spectra Filters | Spectra filters report single values of spectra e.g. the TIC
Peak Marker | These classes mark peaks according to different criteria
▼Analysis | High-level analysis like PeakPicking, Quantitation, Identification, MapAlignment
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
▼Visual | Visualization classes
Spectrum visualization widgets | Spectrum visualization widgets
TOPPView | GUI elements for TOPPView
TOPPAS | GUI elements for TOPPAS
Dialogs | Dialogs for user interaction
Simulation | Simulation classes
Get scores from ID structures for FDR | Fills the scores_labels vector from an ID data structure
Sets FDRs/qVals | Sets FDRs/qVals from a scores_to_FDR map in the ID data structures