MStractor: R Workflow Package for Enhancing Metabolomics Data Pre-Processing and Visualization.

ABSTRACT: Untargeted metabolomics experiments for characterizing complex biological samples, conducted with chromatography/mass spectrometry technology, generate large datasets containing very complex and highly variable information. Many data-processing options are available, however, both commercial and open-source solutions for data processing have limitations, such as vendor platform exclusivity and/or requiring familiarity with diverse programming languages. Data processing of untargeted metabolite data is a particular problem for laboratories that specialize in non-routine mass spectrometry analysis of diverse sample types across humans, animals, plants, fungi, and microorganisms. Here, we present MStractor, an R workflow package developed to streamline and enhance pre-processing of metabolomi

SUBMITTER: Nicolotti L 

PROVIDER: S-EPMC8398219 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature