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BioMed Research International
Volume 2014, Article ID 818670, 8 pages
http://dx.doi.org/10.1155/2014/818670
Research Article

Predicting Glycerophosphoinositol Identities in Lipidomic Datasets Using VaLID (Visualization and Phospholipid Identification)—An Online Bioinformatic Search Engine

1Neural Regeneration Laboratory, Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, ON, Canada K1H 8M5
2Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, ON, Canada K1H 8M5
3CIHR Training Program in Neurodegenerative Lipidomics, Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, ON, Canada K1H 8M5
4Carleton Immersive Media Studio, Azrieli School of Architecture and Urbanism, Carleton University, ON, Canada K1S 5B6

Received 6 November 2013; Accepted 23 December 2013; Published 20 February 2014

Academic Editor: Tao Huang

Copyright © 2014 Graeme S. V. McDowell et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Graeme S. V. McDowell, Alexandre P. Blanchard, Graeme P. Taylor, Daniel Figeys, Stephen Fai, and Steffany A. L. Bennett, “Predicting Glycerophosphoinositol Identities in Lipidomic Datasets Using VaLID (Visualization and Phospholipid Identification)—An Online Bioinformatic Search Engine,” BioMed Research International, vol. 2014, Article ID 818670, 8 pages, 2014. https://doi.org/10.1155/2014/818670.