Data standards can boost metabolomics research, and if there is a will, there is a way-Reference-Cited by-同舟云学术

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Data standards can boost metabolomics research, and if there is a will, there is a way

Published:2015-11-17 Issue:1 Volume:12 Page:
ISSN:1573-3882
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Rocca-Serra Philippe,Salek Reza M.,Arita Masanori,Correa Elon,Dayalan Saravanan,Gonzalez-Beltran Alejandra,Ebbels Tim,Goodacre Royston,Hastings Janna,Haug Kenneth,Koulman Albert,Nikolski Macha,Oresic Matej,Sansone Susanna-Assunta,Schober Daniel,Smith James,Steinbeck Christoph,Viant Mark R.,Neumann Steffen

Funder

Seventh Framework Programme

Seventh Framework Programme (BE)

Biotechnology and Biological Sciences Research Council

Indian Council of Medical Research

Medical Research Council

Australian National Collaborative Research Infrastructure Strategy

Biotechnology and Biological Sciences Research Council (GB)

Publisher

Springer Science and Business Media LLC

Subject

Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism

Link

http://link.springer.com/content/pdf/10.1007/s11306-015-0879-3.pdf

Reference55 articles.

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2. Beisken, S., Earll, M., Portwood, D., Seymour, M., & Steinbeck, C. (2014). MassCascade: Visual programming for LC-MS data processing in metabolomics. Molecular Informatics, 33(4), 307–310. doi: 10.1002/minf.201400016 .

3. Bemis, K. D., Harry, A., Eberlin, L. S., Ferreira, C., van de Ven, S. M., Mallick, P., Stolowitz, M., & Vitek, O. (2015). Cardinal: An R package for statistical analysis of mass spectrometry-based imaging experiments. Bioinformatics, 31(14), 2418–2420. doi: 10.1093/bioinformatics/btv146 .

4. Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., et al. (2001). Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nature Genetics, 29(4), 365–371. doi: 10.1038/ng1201-365 .

5. Brazma, A., Parkinson, H., Sarkans, U., Shojatalab, M., Vilo, J., Abeygunawardena, N., et al. (2003). ArrayExpress–a public repository for microarray gene expression data at the EBI. Nucleic Acids Research, 31(1), 68–71. doi: 10.1093/nar/gkg091 .

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