Issue 11, 2020

Scientific workflow managers in metabolomics: an overview

Abstract

Providing maximum information on the provenance of scientific results in life sciences is getting considerable attention since the widely publicized reproducibility crisis. Improving the reproducibility of data processing and analysis workflows is part of this movement and may help achieve clinical deployment quicker. Scientific workflow managers can be valuable tools towards achieving this goal. Although these platforms are already well established in the field of genomics and other omics fields, in metabolomics scripts and dedicated software packages are still more popular. However, versatile workflows for metabolomics exist in the KNIME and Galaxy platforms. We will here summarize the available options of scientific workflow managers dedicated to metabolomics analysis.

Graphical abstract: Scientific workflow managers in metabolomics: an overview

Article information

Article type
Critical Review
Submitted
07 Feb 2020
Accepted
28 Apr 2020
First published
28 Apr 2020

Analyst, 2020,145, 3801-3808

Scientific workflow managers in metabolomics: an overview

A. Verhoeven, M. Giera and O. A. Mayboroda, Analyst, 2020, 145, 3801 DOI: 10.1039/D0AN00272K

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements