PeakPickerHiRes#

class pyopenms.PeakPickerHiRes(*args, **kwargs)#

Bases: DefaultParamHandler

This class implements a fast peak-picking algorithm best suited for high resolution MS data (FT-ICR-MS, Orbitrap). In high resolution data, the signals of ions with similar mass-to-charge ratios (m/z) exhibit little or no overlapping and therefore allow for a clear separation. Furthermore, ion signals tend to show well-defined peak shapes with narrow peak width DefaultParamHandler ProgressLogger

__init__(self) → None#
__init__(self, arg: pyopenms._pyopenms_misc.PeakPickerHiRes, /) → None

Attributes

`endProgress`	Ends the progress display
`getDefaults`	Returns the default parameters
`getLogType`	Returns the type of progress log being used
`getName`	Returns the name
`getParameters`	Returns the parameters
`getSubsections`
`nextProgress`	Increment progress by 1 (according to range begin-end)
`pick`
`pickExperiment`	Picks peaks in a full experiment (MSExperiment)
`setLogType`	Sets the progress log that should be used.
`setName`	Sets the name
`setParameters`	Sets the parameters
`setProgress`	Sets the current progress
`startProgress`

endProgress#: Ends the progress display

getDefaults#: Returns the default parameters

getLogType#: Returns the type of progress log being used

getName#: Returns the name

getParameters#: Returns the parameters

getSubsections#

nextProgress#: Increment progress by 1 (according to range begin-end)

pick#

pickExperiment#: Picks peaks in a full experiment (MSExperiment)

setLogType#: Sets the progress log that should be used. The default type is NONE!

setName#: Sets the name

setParameters#: Sets the parameters

setProgress#: Sets the current progress

startProgress#