ReactionMonitoringTransition

class pyopenms.ReactionMonitoringTransition

Bases: object

Cython implementation of _ReactionMonitoringTransition

Original C++ documentation is available here

– Inherits from [‘CVTermList’]

__init__()

Overload:

__init__(self) → None

Overload:

__init__(self, in_0: ReactionMonitoringTransition) → None

Methods

__init__	Overload:
addCVTerm(self, term)	Adds a CV term
addIntermediateProduct(self, product)
addPrecursorCVTerm(self, cv_term)	Adds precursor CV Term
addPredictionTerm(self, prediction)	Adds prediction term
addProductCVTerm(self, cv_term)
clearMetaInfo(self)	Removes all meta values
consumeCVTerms(self, cv_term_map)	Merges the given map into the member map, no duplicate checking
empty(self)
getCVTerms(self)	Returns the accession string of the term
getCompoundRef(self)
getDecoyTransitionType(self)	Returns the type of transition (target or decoy)
getIntermediateProducts(self)
getKeys(self, keys)	Fills the given vector with a list of all keys for which a value is set
getLibraryIntensity(self)	Returns the library intensity (ion count or normalized ion count from a spectral library)
getMetaValue(self, in_0)	Returns the value corresponding to a string, or
getName(self)
getNativeID(self)
getPeptideRef(self)
getPrecursorCVTermList(self)	Obtains the list of CV Terms for the precursor
getPrecursorMZ(self)	Returns the precursor mz (Q1 value)
getPrediction(self)	Obtains the Prediction object
getProduct(self)
getProductChargeState(self)	Returns the charge state of the product
getProductMZ(self)
getRetentionTime(self)
hasCVTerm(self, accession)
hasPrecursorCVTerms(self)	Returns true if precursor CV Terms exist (means it is safe to call getPrecursorCVTermList)
hasPrediction(self)	Returns true if a Prediction object exists (means it is safe to call getPrediction)
isDetectingTransition(self)
isIdentifyingTransition(self)
isMetaEmpty(self)	Returns if the MetaInfo is empty
isProductChargeStateSet(self)	Returns true if charge state of product is already set
isQuantifyingTransition(self)
metaRegistry(self)	Returns a reference to the MetaInfoRegistry
metaValueExists(self, in_0)	Returns whether an entry with the given name exists
removeMetaValue(self, in_0)	Removes the DataValue corresponding to name if it exists
replaceCVTerm(self, term)	Replaces the specified CV term
replaceCVTerms(self, cv_terms, accession)
setCVTerms(self, terms)	Sets the CV terms
setCompoundRef(self, compound_ref)
setDecoyTransitionType(self, d)	Sets the type of transition (target or decoy)
setDetectingTransition(self, val)
setIdentifyingTransition(self, val)
setIntermediateProducts(self, products)
setLibraryIntensity(self, intensity)	Sets the library intensity (ion count or normalized ion count from a spectral library)
setMetaValue(self, in_0, in_1)	Sets the DataValue corresponding to a name
setName(self, name)
setNativeID(self, name)
setPeptideRef(self, peptide_ref)
setPrecursorCVTermList(self, list_)	Sets a list of precursor CV Terms
setPrecursorMZ(self, in_0)	Sets the precursor mz (Q1 value)
setPrediction(self, prediction)	Sets prediction
setProduct(self, product)
setProductMZ(self, in_0)
setQuantifyingTransition(self, val)
setRetentionTime(self, rt)

addCVTerm(self, term: CVTerm) → None

Adds a CV term

addIntermediateProduct(self, product: TraMLProduct) → None

addPrecursorCVTerm(self, cv_term: CVTerm) → None

Adds precursor CV Term

addPredictionTerm(self, prediction: CVTerm) → None

Adds prediction term

addProductCVTerm(self, cv_term: CVTerm) → None

clearMetaInfo(self) → None

Removes all meta values

consumeCVTerms(self, cv_term_map: Dict[bytes, List[CVTerm]]) → None

Merges the given map into the member map, no duplicate checking

empty(self) → bool

getCVTerms(self) → Dict[bytes, List[CVTerm]]

Returns the accession string of the term

getCompoundRef(self) → bytes | str | String

getDecoyTransitionType(self) → int

Returns the type of transition (target or decoy)

getIntermediateProducts(self) → List[TraMLProduct]

getKeys(self, keys: List[bytes]) → None

Fills the given vector with a list of all keys for which a value is set

getLibraryIntensity(self) → float

Returns the library intensity (ion count or normalized ion count from a spectral library)

getMetaValue(self, in_0: bytes | str | String) → int | float | bytes | str | List[int] | List[float] | List[bytes]

Returns the value corresponding to a string, or

getName(self) → bytes | str | String

getNativeID(self) → bytes | str | String

getPeptideRef(self) → bytes | str | String

getPrecursorCVTermList(self) → CVTermList

Obtains the list of CV Terms for the precursor

getPrecursorMZ(self) → float

Returns the precursor mz (Q1 value)

getPrediction(self) → Prediction

Obtains the Prediction object

getProduct(self) → TraMLProduct

getProductChargeState(self) → int

Returns the charge state of the product

getProductMZ(self) → float

getRetentionTime(self) → RetentionTime

hasCVTerm(self, accession: bytes | str | String) → bool

hasPrecursorCVTerms(self) → bool

Returns true if precursor CV Terms exist (means it is safe to call getPrecursorCVTermList)

hasPrediction(self) → bool

Returns true if a Prediction object exists (means it is safe to call getPrediction)

isDetectingTransition(self) → bool

isIdentifyingTransition(self) → bool

isMetaEmpty(self) → bool

Returns if the MetaInfo is empty

isProductChargeStateSet(self) → bool

Returns true if charge state of product is already set

isQuantifyingTransition(self) → bool

metaRegistry(self) → MetaInfoRegistry

Returns a reference to the MetaInfoRegistry

metaValueExists(self, in_0: bytes | str | String) → bool

Returns whether an entry with the given name exists

removeMetaValue(self, in_0: bytes | str | String) → None

Removes the DataValue corresponding to name if it exists

replaceCVTerm(self, term: CVTerm) → None

Replaces the specified CV term

replaceCVTerms(self, cv_terms: List[CVTerm], accession: bytes | str | String) → None

setCVTerms(self, terms: List[CVTerm]) → None

Sets the CV terms

setCompoundRef(self, compound_ref: bytes | str | String) → None

setDecoyTransitionType(self, d: int) → None

Sets the type of transition (target or decoy)

setDetectingTransition(self, val: bool) → None

setIdentifyingTransition(self, val: bool) → None

setIntermediateProducts(self, products: List[TraMLProduct]) → None

setLibraryIntensity(self, intensity: float) → None

Sets the library intensity (ion count or normalized ion count from a spectral library)

setMetaValue(self, in_0: bytes | str | String, in_1: int | float | bytes | str | List[int] | List[float] | List[bytes]) → None

Sets the DataValue corresponding to a name

setName(self, name: bytes | str | String) → None

setNativeID(self, name: bytes | str | String) → None

setPeptideRef(self, peptide_ref: bytes | str | String) → None

setPrecursorCVTermList(self, list_: CVTermList) → None

Sets a list of precursor CV Terms

setPrecursorMZ(self, in_0: float) → None

Sets the precursor mz (Q1 value)

setPrediction(self, prediction: Prediction) → None

Sets prediction

setProduct(self, product: TraMLProduct) → None

setProductMZ(self, in_0: float) → None

setQuantifyingTransition(self, val: bool) → None

setRetentionTime(self, rt: RetentionTime) → None