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David S. Wishart
Researcher at University of Alberta
Publications - 564
Citations - 93527
David S. Wishart is an academic researcher from University of Alberta. The author has contributed to research in topics: Metabolomics & Medicine. The author has an hindex of 108, co-authored 523 publications receiving 76652 citations. Previous affiliations of David S. Wishart include La Trobe University & International Agency for Research on Cancer.
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Applications of Metabolomics to Precision Nutrition.
TL;DR: Precision nutrition is a branch of nutrition science that aims to use modern omics technologies (genomics, proteomics, and metabolomics) to assess an individual's response to specific foods or dietary patterns and thereby determine the most effective diet or lifestyle interventions to prevent or treat specific diseases in that individual as discussed by the authors.
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Prediction of genetic structure in eukaryotic DNA using reference point logistic regression and sequence alignment.
TL;DR: A two-stage computer program to predict genetic structure in eukaryotic DNA, which can handle partial, single, and multi-gene sequences and is capable of predicting the genetic structure of vertebrate, invertebrate, and plant DNA with nearly equal accuracy.
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GelScape: a web-based server for interactively annotating, manipulating, comparing and archiving 1D and 2D gel images
TL;DR: GelScape is a web-based tool that permits facile, interactive annotation, comparison, manipulation and storage of protein gel images and supports many of the features found in commercial, stand-alone gel analysis software.
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DI/LC-MS/MS-based metabolic profiling for identification of early predictive serum biomarkers of metritis in transition dairy cows
TL;DR: Results indicated that cows with metritis experienced altered concentrations of serum amino acids, glycerophospholipids, sphingolipIDS, acylcarnitines, and biogenic amines during the entire experimental period, which indicate that serum metabolites identified have pretty accurate predictive, diagnostic, and prognostic abilities for metritis in transition dairy cows.
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BioTransformer 3.0—a web server for accurately predicting metabolic transformation products
David S. Wishart,Siyang Tian,Dana Lynne Allen,Eponine Oler,Harrison Peters,Vicki W. Lui,Vasuk Gautam,Yannick Djoumbou Feunang,Russell Greiner,Thomas O. Metz +9 more
TL;DR: Performance tests indicate that BioTransformer 3.0 is 40–50% more accurate, far less prone to combinatorial ‘explosions’ and much more comprehensive in terms of metabolite coverage/capabilities than previous versions ofBioTransformer.