A score matrix to reveal the hidden links in glycans | Zendy

Kiyoko F. AokiKinoshita | Zendy; Hiroshi Mamitsuka | Zendy; Tatsuya Akutsu | Zendy; Minoru Kanehisa | Zendy

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A score matrix to reveal the hidden links in glycans

Author(s) -

Kiyoko F. AokiKinoshita,

Hiroshi Mamitsuka,

Tatsuya Akutsu,

Minoru Kanehisa

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti193

Subject(s) - glycan , computer science , distance matrix , matrix (chemical analysis) , computational biology , tree (set theory) , biological data , variety (cybernetics) , data mining , bioinformatics , artificial intelligence , algorithm , biology , mathematics , chemistry , genetics , combinatorics , glycoprotein , chromatography

Glycans are the third major class of biomolecules following DNA and proteins. They are extremely vital for the functioning of multicellular organisms. However, comparing the fast development of sequence analysis techniques, informatics work on glycans have a long way to go. Alignment algorithms for glycan tree structures are one of the foremost concerns. In addition, the statistical analysis of these algorithms in terms of biological significance needs to be addressed.

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