Metabolomics Data Processing Using OpenMS

Rurik, M; Alka, O; Aicheler, F; Kohlbacher, O

doi:10.1007/978-1-0716-0239-3_4

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Book Chapter

Metabolomics Data Processing Using OpenMS

MPS-Authors

/persons/resource/persons44815

Kohlbacher, O
Research Group Biomolecular Interactions, Max Planck Institute for Developmental Biology, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Rurik, M., Alka, O., Aicheler, F., & Kohlbacher, O. (2020). Metabolomics Data Processing Using OpenMS. In Methods in Molecular Biology. US: Springer.

Cite as: https://hdl.handle.net/21.11116/0000-000A-5E50-3

Abstract

This chapter describes the open-source tool suite OpenMS. OpenMS contains more than 180 tools which can be combined to build complex and flexible data-processing workflows. The broad range of functionality and the interoperability of these tools enable complex, complete, and reproducible data analysis workflows in computational proteomics and metabolomics. We introduce the key concepts of OpenMS and illustrate its capabilities with a complete workflow for the analysis of untargeted metabolomics data, including metabolite quantification and identification.