Unsupervised discovery and comparison of structural families across multiple samples in untargeted metabolomics

Van Der Hooft, J. and Wandy, J. (2017) Unsupervised discovery and comparison of structural families across multiple samples in untargeted metabolomics. [Data Collection]

Enlighten Publications URI: http://eprints.gla.ac.uk/id/eprint/142536

Collection description

The entire collection consists of two metabolomics datasets, produced by running samples through liquid chromatography mass spectrometry instruments. The Beer dataset is generated by sampling 18 bottles of beer resulting in 19 samples. The Urine dataset consists of 22 urine extracts of a Stroke patient cohort. All samples were measured using a pHILIC-MS platform and full scan and fragmentation experiments were acquired.

College / School: College of Science and Engineering > School of Computing Science
Date Deposited: 13 Apr 2017 14:31
Retention date: 16 June 2027
Funder's Name: Wellcome Trust (WELLCOME), Wellcome Trust (WELLCOME), Biotechnology and Biological Sciences Research Council (BBSRC)
URI: http://researchdata.gla.ac.uk/id/eprint/402

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Van Der Hooft, J. and Wandy, J. (2017); Unsupervised discovery and comparison of structural families across multiple samples in untargeted metabolomics

University of Glasgow

10.5525/gla.researchdata.402

Retrieved: 2017-09-21

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