MassCascade: Visual Programming for LC-MS Data Processing in Metabolomics
Article first published online: 22 APR 2014
© 2014 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Volume 33, Issue 4, pages 307–310, April 2014
How to Cite
Beisken, S., Earll, M., Portwood, D., Seymour, M. and Steinbeck, C. (2014), MassCascade: Visual Programming for LC-MS Data Processing in Metabolomics. Mol. Inf., 33: 307–310. doi: 10.1002/minf.201400016
- Issue published online: 28 APR 2014
- Article first published online: 22 APR 2014
- Manuscript Accepted: 10 MAR 2014
- Manuscript Received: 12 FEB 2014
- Funded Access
- Mass spectrometry;
- Data analysis;
- Workflow platform;
Liquid chromatography coupled to mass spectrometry (LC-MS) is commonly applied to investigate the small molecule complement of organisms. Several software tools are typically joined in custom pipelines to semi-automatically process and analyse the resulting data. General workflow environments like the Konstanz Information Miner (KNIME) offer the potential of an all-in-one solution to process LC-MS data by allowing easy integration of different tools and scripts. We describe MassCascade and its workflow plug-in for processing LC-MS data. The Java library integrates frequently used algorithms in a modular fashion, thus enabling it to serve as back-end for graphical front-ends. The functions available in MassCascade have been encapsulated in a plug-in for the workflow environment KNIME, allowing combined use with e.g. statistical workflow nodes from other providers and making the tool intuitive to use without knowledge of programming. The design of the software guarantees a high level of modularity where processing functions can be quickly replaced or concatenated. MassCascade is an open-source library for LC-MS data processing in metabolomics. It embraces the concept of visual programming through its KNIME plug-in, simplifying the process of building complex workflows. The library was validated using open data.