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YinOYang 1.2


The YinOYang WWW server produces neural network predictions for O-ß-GlcNAc attachment sites in eukaryotic protein sequences. This server can also use NetPhos, to mark possi ble phosphorylated sites and hence identify "Yin-Yang" sites.

Instructions Output format Article abstract NetOGlyc DictyOGlyc

SUBMISSION

Paste a single sequence or several sequences in FASTA format into the field below:

Submit a file in FASTA format directly from your local disk:

Submit Uniprot ID/AC:

    generate graphics
    yin-yang site predictions (i.e. cross-NetPhos scans)

Output
show only positive sites
show all S/T residues

NetPhos threshold    

SignalP is automatically run on all sequences. A warning is displayed if a signal peptide is predicted.

Restrictions:
At most 2000 sequences and 200000 amino acids per submission; each sequence not less than 21 and not more than 4000 amino acids.

Confidentiality:
The sequences are kept confidential and will be deleted after processing.

CITATIONS

For publication of results, please cite:

Prediction of glycosylation sites in proteomes: from post-translational modifications to protein function.
R Gupta.
Ph.D. thesis at CBS, 2001.

Prediction of glycosylation across the human proteome and the correlation to protein function.
Gupta, R. and S. Brunak.
Pacific Symposium on Biocomputing, 7:310-322, 2002.

PMID: 11928486         Download the full article in PDF.

ACKNOWLEDGEMENTS

Experimental data used in training this method was provided by Gerald Hart, Lance Wells and other members of their laboratory.

The YinOYang server incorporates results from NetPhos and SignalP.

PORTABLE VERSION

Would you prefer to run YinOYang at your own site? YinOYang 1.2 is available as a stand-alone software package, with the same functionality as the service above. Ready-to-ship packages exist for the most common UNIX platforms. There is a download page for academic users; other users are requested to contact CBS Software Package Manager at software@cbs.dtu.dk.

GETTING HELP

Scientific problems:        Technical problems:       

This file was last modified Wednesday 12th 2013f June 2013 09:50:31 GMT