Navigating freely-available software tools for metabolomics analysis-Reference-Cited by-同舟云学术

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Navigating freely-available software tools for metabolomics analysis

Published:2017-08-09 Issue:9 Volume:13 Page:
ISSN:1573-3882
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Spicer Rachel^ORCID,Salek Reza M.^ORCID,Moreno Pablo^ORCID,Cañueto Daniel^ORCID,Steinbeck Christoph^ORCID

Funder

Biotechnology and Biological Sciences Research Council

Medical Research Council

Horizon 2020

Publisher

Springer Science and Business Media LLC

Subject

Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism

Link

http://link.springer.com/article/10.1007/s11306-017-1242-7/fulltext.html

Reference157 articles.

1. Afgan, E., Baker, D., van den Beek, M., Blankenberg, D., Bouvier, D., Čech, M., et al. (2016). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research, 44(W1), W3–W10.

2. Allen, F., Pon, A., Wilson, M., Greiner, R., & Wishart, D. (2014). CFM-ID: A web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra. Nucleic Acids Research, 42(W1), 94–99.

3. Alonso, A., Marsal, S., & Julià, A. (2015). Analytical methods in untargeted metabolomics: State of the art in 2015. Frontiers in Bioengineering and Biotechnology, 3, 23.

4. Alonso, A., Rodríguez, M. a., Vinaixa, M., Tortosa, R., Correig, X., Julià, A., & Marsal, S. (2014). Focus: A robust workflow for one-dimensional NMR spectral analysis. Analytical Chemistry, 86, 1160–1169.

5. Armitage, E. G., Godzien, J., Alonso-Herranz, V., López-Gonzálvez, Á., & Barbas, C. (2015). Missing value imputation strategies for metabolomics data. Electrophoresis, 36(24), 3050–3060.

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