alphabase.peptide.mobility#

Functions:

`ccs_to_mobility_bruker`(ccs_values, charges, ...)	Convert CCS to mobility for Bruker (timsTOF)
`ccs_to_mobility_for_df`(precursor_df, ...[, ...])	param precursor_df: precursor_df
`get_reduced_mass`(precursor_mzs, charges)	Reduced mass for CCS and mobility calculation
`mobility_to_ccs_bruker`(im_values, charges, ...)	Convert mobility to CCS for Bruker (timsTOF)
`mobility_to_ccs_for_df`(precursor_df, ...[, ...])	param precursor_df: precursor_df

alphabase.peptide.mobility.ccs_to_mobility_bruker(ccs_values: ndarray, charges: ndarray, precursor_mzs: ndarray) → ndarray[source][source]#: Convert CCS to mobility for Bruker (timsTOF)

alphabase.peptide.mobility.ccs_to_mobility_for_df(precursor_df: DataFrame, ccs_column: str, *, vendor='bruker') → ndarray[source][source]#

Parameters:

precursor_df (pd.DataFrame) – precursor_df
ccs_column (str) – CCS column name in precursor_df
vendor (str, optional) – Different vender may have different IM calculation. Defaults to “bruker”. Note that other vendors are not implemented currently.

Returns:

mobility values

Return type:

np.ndarray

alphabase.peptide.mobility.get_reduced_mass(precursor_mzs: ndarray, charges: ndarray) → ndarray[source][source]#: Reduced mass for CCS and mobility calculation

alphabase.peptide.mobility.mobility_to_ccs_bruker(im_values: ndarray, charges: ndarray, precursor_mzs: ndarray) → ndarray[source][source]#: Convert mobility to CCS for Bruker (timsTOF)

alphabase.peptide.mobility.mobility_to_ccs_for_df(precursor_df: DataFrame, mobility_column: str, *, vendor='bruker') → ndarray[source][source]#

Parameters:

precursor_df (pd.DataFrame) – precursor_df
mobility_column (str) – mobility column name in precursor_df
vendor (str, optional) – Different vender may have different IM calculation. Defaults to “bruker”. Note that other vendors are not implemented currently.

Returns:

CCS values

Return type:

np.ndarray