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  MetNet: Metabolite Network Prediction from High-Resolution Mass Spectrometry Data in R Aiding Metabolite Annotation

Naake, T., & Fernie, A. R. (2019). MetNet: Metabolite Network Prediction from High-Resolution Mass Spectrometry Data in R Aiding Metabolite Annotation. Analytical Chemistry, 91(3), 1768-1772. doi:10.1021/acs.analchem.8b04096.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-1733-A Version Permalink: https://hdl.handle.net/21.11116/0000-0003-1734-9
Genre: Journal Article

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 Creators:
Naake, T.1, Author           
Fernie, A. R.1, Author           
Affiliations:
1Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000458220300020
DOI: 10.1021/acs.analchem.8b04096
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Title: Analytical Chemistry
  Abbreviation : Anal. Chem.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, D.C. : American Chemical Society
Pages: - Volume / Issue: 91 (3) Sequence Number: - Start / End Page: 1768 - 1772 Identifier: ISSN: 0003-2700
CoNE: https://pure.mpg.de/cone/journals/resource/111032812862552