NetOGlyc specifications

Information


Unique identifier OMICS_02441
Name NetOGlyc
Interface Web user interface, Application programming interface
Restrictions to use None
Input data A set of sequences.
Input format FASTA
Computer skills Basic
Version 4.0
Stability Stable
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Documentation


Maintainer


  • person_outline Hiren Joshi <>

Additional information


Access to a standalone version available upon request.

Information


Unique identifier OMICS_02441
Name NetOGlyc
Software type Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Input data A single sequence (just the amino acids) or a number of sequences.
Input format FASTA
Output data A list of potential glycosylation sites, showing their positions in the sequence and the prediction confidence scores.
Operating system Unix/Linux
Computer skills Advanced
Version 4.0
Stability Stable
Requirements DisEMBL, NetSurfP, TMHMM

Taxon


  • Primates
    • Homo sapiens

Versioning


Add your version

Documentation


Maintainer


This tool is not maintained anymore.

Additional information


Access to a standalone version available upon request.

Publications for NetOGlyc

NetOGlyc institution(s)
Copenhagen Center for Glycomics, Departments of Cellular and Molecular Medicine and School of Dentistry, University of Copenhagen, Copenhagen, Denmark; Center for Biological Sequence Analysis, Department of Systems Biology Technical University of Denmark, Lyngby, Denmark; IPATIMUP, Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Horsholm, Denmark; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
NetOGlyc funding source(s)
Supported by Kirsten og Freddy Johansen Fonden, A.P. Moller og Hustru Chastine Mc-Kinney Mollers Fond til Almene Formaal, The Carlsberg Foundation, The Novo Nordisk Foundation, The Danish Research Councils, a programme of excellence from the University of Copenhagen, the Sino-Danish Breast Cancer Centre and The Danish National Research Foundation (DNRF107).

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