OpenMS  3.0.0
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 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 scores to FDRs/qVals in ID data structures to the closest in a given mapping Sets FDRs/qVals from a scores_to_FDR map in the ID data structures Functions for getting values from sql-select statements