Metabolomics

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Prediction, detection, and validation of isotope peaks in mass spectrometry data (Supplemental data for manuscript)


ABSTRACT: Mass spectrometry is a key analytical platform for metabolomics. The precise quantification and identification of small molecules is a prerequisite for elucidating the metabolism and the detection, validation, and evaluation of isotope clusters in LC-MS data is important for this task. Here, we present an approach for the improved detection of isotope clusters using chemical prior knowledge and the validation of detected isotope clusters depending on the substance mass using database statistics. We find remarkable improvements regarding the number of detected isotope clusters and are able to predict the correct molecular formula in the top three ranks in 92% of the cases. We make our methodology freely available as part of the Bioconductor packages xcms and CAMERA.

INSTRUMENT(S): micrOTOF-Q II ESI-Qq-TOF (Bruker)

SUBMITTER: Steffen Neumann 

PROVIDER: MTBLS381 | MetaboLights | 2016-10-30

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS381 Other
FILES Other
a_MTBLS381_metabolite_profiling_mass_spectrometry_positive.txt Txt
files-all.json Other
i_Investigation.txt Txt
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