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2009
Lewis, A., Wishart, D.S., Guo, A.C., Gautam, B., Tzur, D., Sobsey, C.A., Shaykhutdinov, R., Fradette, R., De Souza, A., Cruz, J.A., Xiong, Y., Bouatra, S., Mandal, R., Psychogios, N., Sinelnikov, I., Vogel, H.J., Fang, L., Peng, J., Xia, J., Li, L., Knox, C., Shrivastava, S., Clements, M., Lim, E., Eisner, R., Cheng, D., Dawe, M., Zuniga, A., Young, N., Jia, L., Grenier, R., Hau, D.D., Huang, P., Nazyrova, A., Liu, P., Forsythe, I., Dong, E., Clive, D.
The Human Metabolome Database (HMDB, http:// www.hmdb.ca (http://www.hmdb.ca)) is a richly annotated resource that is designed to address the broad needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists and members of the metabolomics community. Since its first...
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2009
Wishart, D.S., Psychogios, N., Young, N., Xia, J.
Metabolomics is a newly emerging field of ‘omics’ research that is concerned with characterizing large numbers of metabolites using NMR, chromatography and mass spectrometry. It is frequently used in biomarker identification and the metabolic profiling of cells, tissues or organisms. The data...
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MetaboMiner – semi-automated identification of metabolites from 2D NMR spectra of complex biofluids
Download2008
Tang, P., Wishart, D.S., Xia, J., Bjorndahl, T.C.
Background One-dimensional (1D) 1H nuclear magnetic resonance (NMR) spectroscopy is widely used in metabolomic studies involving biofluids and tissue extracts. There are several software packages that support compound identification and quantification via 1D 1H NMR by spectral fitting...
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2004
Wishart, D.S., Stothard, P., Dong, X., Forsythe, I.
PlasMapper is a comprehensive web server that automatically generates and annotates high-quality circular plasmid maps. Taking only the plasmid/vector DNA sequence as input, PlasMapper uses sequence pattern matching and BLAST alignment to automatically identify and label common promoters,...
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Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
Download2009
Janzen, R.P., Dong, X., Gordon, P.M., Soh, J., Wishart, D.S., Sabhaney, A., Turinsky, A.L., Sensen, C.W., Chang, J., Hau, D., Xia, J., Trinh, Q.M.
We have developed a computational framework for spatiotemporal integration of molecular and anatomical datasets in a virtual reality environment. Using two case studies involving gene expression data and pharmacokinetic data, respectively, we demonstrate how existing knowledge bases for molecular...