Algorithms and design strategies towards automated glycoproteomics analysis

Mass Spectrometry Reviews

Volumn 36, Issue 4, 2017, Pages 475-498

  Hu, Han ^a,b   Khatri, Kshitij ^b   Zaia, Joseph ^b  

^a BOSTON UNIVERSITY   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

bioinformatics; glycoinformatics; glycoproteins; glycoproteomics; mass spectrometry

Indexed keywords

ALGORITHMS; BIOINFORMATICS; GLYCOPROTEINS; MASS SPECTROMETRY; MOLECULAR BIOLOGY; POLYSACCHARIDES;

ANALYSIS TECHNIQUES; BIOINFORMATICS TOOLS; COMPUTATIONAL TOOLS; GLYCOINFORMATICS; GLYCOPROTEOMICS; GLYCOSIDIC LINKAGES; PIPELINE CONSTRUCTION; POST-TRANSLATIONAL MODIFICATIONS;

PROTEINS;

GLYCOPROTEIN; GLYCOSIDE; MONOSACCHARIDE; PEPTIDE FRAGMENT; PROTEOME;

ALGORITHM; BIOLOGY; CARBOHYDRATE ANALYSIS; CHEMISTRY; DEVICES; GLYCOBIOLOGY; GLYCOSYLATION; HUMAN; MASS SPECTROMETRY; PEPTIDE MAPPING; PROCEDURES; PROTEIN PROCESSING; SOFTWARE; STANDARDS; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; CARBOHYDRATE SEQUENCE; COMPUTATIONAL BIOLOGY; GLYCOMICS; GLYCOPROTEINS; GLYCOSIDES; GLYCOSYLATION; HUMANS; MASS SPECTROMETRY; MONOSACCHARIDES; PEPTIDE FRAGMENTS; PEPTIDE MAPPING; PROTEIN PROCESSING, POST-TRANSLATIONAL; PROTEOME; SOFTWARE;

EID: 84953316207     PISSN: 02777037     EISSN: 10982787     Source Type: Journal    
DOI: 10.1002/mas.21487     Document Type: Review

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