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Items: 7

1.

Two-Dimensional N-Glycan Distribution Mapping of Hepatocellular Carcinoma Tissues by MALDI-Imaging Mass Spectrometry.

Powers TW, Holst S, Wuhrer M, Mehta AS, Drake RR.

Biomolecules. 2015 Oct 15;5(4):2554-72. doi: 10.3390/biom5042554.

2.

Integration of the transcriptome and glycome for identification of glycan cell signatures.

Bennun SV, Yarema KJ, Betenbaugh MJ, Krambeck FJ.

PLoS Comput Biol. 2013;9(1):e1002813. doi: 10.1371/journal.pcbi.1002813. Epub 2013 Jan 10.

3.

Using databases and web resources for glycomics research.

Aoki-Kinoshita KF.

Mol Cell Proteomics. 2013 Apr;12(4):1036-45. doi: 10.1074/mcp.R112.026252. Epub 2013 Jan 16. Review.

4.

Bioinformatics and molecular modeling in glycobiology.

Frank M, Schloissnig S.

Cell Mol Life Sci. 2010 Aug;67(16):2749-72. doi: 10.1007/s00018-010-0352-4. Epub 2010 Apr 4. Review.

5.

Glycomic analysis: an array of technologies.

Krishnamoorthy L, Mahal LK.

ACS Chem Biol. 2009 Sep 18;4(9):715-32. doi: 10.1021/cb900103n. Review.

6.

A mathematical model to derive N-glycan structures and cellular enzyme activities from mass spectrometric data.

Krambeck FJ, Bennun SV, Narang S, Choi S, Yarema KJ, Betenbaugh MJ.

Glycobiology. 2009 Nov;19(11):1163-75. doi: 10.1093/glycob/cwp081. Epub 2009 Jun 8.

7.

An introduction to bioinformatics for glycomics research.

Aoki-Kinoshita KF.

PLoS Comput Biol. 2008 May 30;4(5):e1000075. doi: 10.1371/journal.pcbi.1000075. Review. No abstract available.

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