Topic modeling for untargeted substructure exploration in metabolomics.

ABSTRACT: The potential of untargeted metabolomics to answer important questions across the life sciences is hindered because of a paucity of computational tools that enable extraction of key biochemically relevant information. Available tools focus on using mass spectrometry fragmentation spectra to identify molecules whose behavior suggests they are relevant to the system under study. Unfortunately, fragmentation spectra cannot identify molecules in isolation but require authentic standards or databases of known fragmented molecules. Fragmentation spectra are, however, replete with information pertaining to the biochemical processes present, much of which is currently neglected. Here, we present an analytical workflow that exploits all fragmentation data from a given experiment to extract biochemi

SUBMITTER: van der Hooft JJ 

PROVIDER: S-EPMC5137707 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature