SugarPy facilitates the universal, discovery-driven analysis of intact glycopeptides | Zendy

Stefan Schulze | Zendy; Anne Oltmanns | Zendy; Christian Fufezan | Zendy; Julia Krägenbring | Zendy; Michael Mormann | Zendy; Mechthild Pohlschröder | Zendy; Michael Hippler | Zendy

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SugarPy facilitates the universal, discovery-driven analysis of intact glycopeptides

Author(s) -

Stefan Schulze,

Anne Oltmanns,

Christian Fufezan,

Julia Krägenbring,

Michael Mormann,

Mechthild Pohlschröder,

Michael Hippler

Publication year - 2020

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/btaa1042

Subject(s) - glycoproteomics , python (programming language) , computer science , haloferax volcanii , glycan , chlamydomonas reinhardtii , computational biology , programming language , chemistry , biology , glycoprotein , biochemistry , mutant , archaea , gene

Protein glycosylation is a complex post-translational modification with crucial cellular functions in all domains of life. Currently, large-scale glycoproteomics approaches rely on glycan database dependent algorithms and are thus unsuitable for discovery-driven analyses of glycoproteomes.

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