MzML2ISA & nmrML2ISA: Generating enriched ISA-Tab metadata files from metabolomics XML data

Martin Larralde, Thomas N. Lawson, Ralf J.M. Weber, Pablo Moreno, Kenneth Haug, Philippe Rocca-Serra, Mark R. Viant, Christoph Steinbeck, Reza M. Salek*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Summary: Submission to the MetaboLights repository for metabolomics data currently places the burden of reporting instrument and acquisition parameters in ISA-Tab format on users, who have to do it manually, a process that is time consuming and prone to user input error. Since the large majority of these parameters are embedded in instrument raw data files, an opportunity exists to capture this metadata more accurately. Here we report a set of Python packages that can automatically generate ISA-Tab metadata file stubs from raw XML metabolomics data files. The parsing packages are separated into mzML2ISA (encompassing mzML and imzML formats) and nmrML2ISA (nmrML format only). Overall, the use of mzML2ISA & nmrML2ISA reduces the time needed to capture metadata substantially (capturing 90% of metadata on assay and sample levels), is much less prone to user input errors, improves compliance with minimum information reporting guidelines and facilitates more finely grained data exploration and querying of datasets. Contact: reza.salek@ebi.ac.uk or isatools@googlegroups.com

Original languageEnglish
Pages (from-to)2598-2600
Number of pages3
JournalBioinformatics
Volume33
Issue number16
DOIs
Publication statusPublished - 15 Aug 2017

Bibliographical note

Publisher Copyright:
© 2017 The Author 2017. Published by Oxford University Press.

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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