Home  · Classes  · Annotated Classes  · Modules  · Members  · Namespaces  · Related Pages
Modules
Here is a list of all modules:
[detail level 12]
oConceptOpenMS concepts (types, macros, ...)
|oClass test macrosThese macros are used by the test programs in the subdirectory OpenMS/source/TEST
|oExceptionsExceptions
|\Condition macrosMacros used for to enforce preconditions and postconditions
oSystemVery vasic functionality like file system or stopwatch
oDatastructuresAuxilary datastructures
oMathMath functions and classes
|oStatistics functionsVarious statistical functions
|\Misc functionsMath functions
oKernelKernel datastructures
|oComparatorUtilsA collection of utilities for comparators
|\RangeUtilsPredicates for range operations
oFormatIO classes
|oFile IOFile IO classes
|\Database IODatabase IO classes
oMetadataClasses that capture meta data about a MS or HPLC-MS experiment
oChemistry
oSpectrum ComparisonThe classes within this group are used to compare single spectra, by reporting a similarity value
oSpectrum filtersThis group contains filtering classes for spectra
|oSpectra PreprocessorsThe spectra preprocessors filter the spectra with different criterions
|oSpectra FiltersSpectra filters report single values of spectra e.g. the TIC
|\Peak MarkerThese classes mark peaks according to different criterions
oAnalysisHigh-level analysis like PeakPicking, Quantitation, Identification, MapAlginment
|oSignalProcessingSignal processing classes (noise estimation, noise filters, basline filters)
|oPeakPickingClasses for the transformation of raw ms data into peak data
|oFeatureFinderThe feature detection algorithms
|oMapAlignmentThe map alignment algorithms
|oFeatureGroupingThe feature grouping
|oIdentificationProtein and peptide identitfication classes
|\ClusteringThis 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
oVisualVisualization classes
|oSpectrum visualizaion widgetsSpectrum visualization widgets
|oTOPPViewGUI elements for TOPPView
|oTOPPASGUI elements for TOPPAS
|\DialogsDialogs for user interaction
\SimulationSimulation classes

OpenMS / TOPP release 1.11.1 Documentation generated on Thu Nov 14 2013 11:20:58 using doxygen 1.8.5