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Paper Details

Investigation of <i>N</i>,<i>N</i>,<i>N</i>-Trimethyl-L-alanyl-L-proline Betaine (TMAP) as a Biomarker of Kidney Function.
ACS Omega
0
2023
Author NameAffiliation
Andrew A HouseSchulich School of Medicine and Dentistry, University of Western Ontario
Matthew A WeirSchulich School of Medicine and Dentistry, University of Western Ontario
Amit X GargSchulich School of Medicine and Dentistry, University of Western Ontario
Nicholas M SelbyCenter for Kidney Research and Innovation, University of Nottingham
Bradley L UrquhartSchulich School of Medicine and Dentistry, University of Western Ontario
Bradley L UrquhartSchulich School of Medicine and Dentistry, University of Western Ontario
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Datasets

Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink