Home Instructions Variation Profiling Offline Version Contact

OGPET is an algorithm to predict potential O-glycosylation sites in proteins. To analyze the sequence either upload a file with the sequences in FASTA format, or copy paste the sequences in the textbox below:


Option 1:

  1. Upload the file containing the input sequence(s) in FASTA format             


  2. Select the best possible prediction constraint (what do the checkboxes mean?)
    X n X T/S X n X X
    - - -
    -3 -2 -1 0 1 2 3 4



Option 2:

  1. Enter the sequence(s) in FASTA format below:             


  2. Select the best possible prediction constraint (what do the checkboxes mean?)
    X n X T/S X n X X
    - - -
    -3 -2 -1 0 1 2 3 4



Acknowledgements:

OGPET was developed by Rafael Torres Jr. and Dr. Igor C. Almeida, both from the Dept. of Biological Sciences, Border Biomedical Research Center (BBRC) at the University of Texas at El Paso (UTEP). The online version of this algorithm was developed by M.S. Yash Dayal from the BBRC, Bioinformatics Program, Mathematical Sciences Dept., and Dr. Ming-Ying Leung, Director of the Bioinformatics Program, Mathematical Sciences Dept., at UTEP.

(c) University of Texas at El Paso (UTEP), 500 W University Ave. El Paso, TX 79968