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Databases and associated tools for glycomics and glycoproteomics

Lisacek, F. (author)
Mariethoz, J. (author)
Alocci, D. (author)
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Rudd, P. M. (author)
Abrahams, J. L. (author)
Campbell, M. P. (author)
Packer, N. H. (author)
Ståhle, Jonas (author)
Stockholms universitet,Institutionen för organisk kemi
Widmalm, Göran (author)
Stockholms universitet,Institutionen för organisk kemi
Mullen, E. (author)
Adamczyk, Barbara, 1985 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för medicinsk kemi och cellbiologi,Institute of Biomedicine, Department of Medical Biochemistry and Cell Biology
Rojas-Macias, Miguel A., 1979 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för medicinsk kemi och cellbiologi,Institute of Biomedicine, Department of Medical Biochemistry and Cell Biology
Jin, Chunsheng (author)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för medicinsk kemi och cellbiologi,Institute of Biomedicine, Department of Medical Biochemistry and Cell Biology
Karlsson, N. G. (author)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för medicinsk kemi och cellbiologi,Institute of Biomedicine, Department of Medical Biochemistry and Cell Biology
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 (creator_code:org_t)
2016-10-15
2017
English.
In: High-Throughput Glycomics and Glycoproteomics. Eds: Gordan Lauc & Manfred Wuhrer. - New York : Springer. - 1064-3745. - 9781493964932 - 9781493964918 ; , s. 235-264
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  • The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current glycobiological research. This chapter presents available databases that are devoted to different aspects of glycobioinformatics. This includes oligosaccharide sequence databases, experimental databases, 3D structure databases (of both glycans and glycorelated proteins) and association of glycans with tissue, disease, and proteins. Specific search protocols are also provided using tools associated with experimental databases for converting primary glycoanalytical data to glycan structural information. In particular, researchers using glycoanalysis methods by U/HPLC (GlycoBase), MS (GlycoWorkbench, UniCarb-DB, GlycoDigest), and NMR (CASPER) will benefit from this chapter. In addition we also include information on how to utilize glycan structural information to query databases that associate glycans with proteins (UniCarbKB) and with interactions with pathogens (Sugar Bind). © Springer Science+Business Media New York 2017.

Subject headings

NATURVETENSKAP  -- Biologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences (hsv//eng)
NATURVETENSKAP  -- Kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences (hsv//eng)

Keyword

Databases
Glycobioinformatics
HPLC
Mass spectrometry
NMR
Oligosaccharide
Omics
Glycobioinformatics

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vet (subject category)
kap (subject category)

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