Modules

Here is a list of all modules:

[detail level 12]

▼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