Glycome Informatics: Methods and Applications

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If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you! Published by Ginger Welch Modified 8 months ago. Aoki-Kinoshita Dept. Ethier et al, Methods Mol Biol. Goldberg et al, Proteomics, H. Tang et al, Bioinformatics, Method using glycan arrays Structure prediction from glycosyltransferase expression data S. Kawano et al, Bioinformatics, Aoki et al, Bioinformatics, Least common supertree approximation algorithm for reconstructing glycans from spectral data, K.

Hizukuri et al, Carbohydrate Research, General purpose marker detection, T. Expression data, pathway information, localization information, etc. Statistically computes commonalities by reducing the dimensions of the data Data classification Feature extraction.

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Kawano et al. MSn data Web Portal Glycosciences. Bioinformatics for biomedicine Summary and conclusions. Further analysis of a favorite gene Lecture 8, Per Kraulis. Cummings, R.

Glycome Informatics: Methods and Applications - Kiyoko F. Aoki-Kinoshita - Google книги

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Fundamentals of Glycan Structure 1

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Glycome informatics; methods and applications.

Sci Rep 1, Kikuchi, N. Bioinformatics 21, — Kolarich, D. Proteomics MCP 12, — Komatsoulis, G. Konishi, Y. The GlycomeAtlas tool for visualizing and querying glycome data. Lapatas, V. J Biol Res 22, 9. Lauc, G. Acta BBA - Gen. Launay, G. Le Pendu, J. Host—pathogen co-evolution and glycan interactions. Curr Opin Virol 7, 88— Leinonen, R.

The European Nucleotide Archive.

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A proposed definition and overview of the field.