GRADE Internet Tool version 12/2009
Sequence Analysis | Mutation List Analysis  

Disclaimer:
All sequence interpretations are for research use only, not for diagnostic or clinical purposes! No clinical decision should be based only on the results of the HIV-GRADE Algorithm or on the other Algorithms you can choose for comparison. GRADE is an acronym for Genotypic Resistance-Algorithm DEutschland. The Internet Tool is based on the Stanford HIValg-Software.

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Name: (optional)   Date: (optional)  

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Output Options: Original SpreadSheet    

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Additional Algorithms: Select one or more of the previously published algorithms using the checkboxes below to compare their results to HIV-GRADE. Do not select more than 3 additional Algorithms (including geno2pheno) at one time, as this would render the output rather unreadable.
    ANRS     HIVDB     Rega    
HIV-GRADE has the option to perform combination analysis for a nucleotide/nucleoside backbone. With the exception of quadruple nuke therapy (TZV+TDF), these are only partial therapies that always need to be combined with one or more additional drugs. Please check the box below if you want to use this feature.
Nt/Ns backbone analysis    

geno2pheno: To integrate the results of geno2pheno in the Output, activate the checkbox below. geno2pheno data will be fetched over the internet, so the process will take up to some minutes.
geno2pheno    

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Sequences:
  1. Choose a file to upload from your computer using the file selection box below.
  2. Paste sequence text in the text box below.

    You can also try out some sample sequences. (Warning: You will need javascript for this feature!)
    sample 1 sample 2 sample 3 sample 4 sample 5 sample 6 clear


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GRADE Resistance Comparison uses modified Software from the Stanford HIV-DB. The Stanford HIV-DB offers its own drug-resistance algorithm (Version 6.0.6).
HIV-GRADE is available in the version 12-2009.
ANRS-rules (Version 7/2009) are available in the Internet at http://www.hivfrenchresistance.org/. The XML versions of the ANRS rules was implemented by the Stanford HIV-DB Team.
Also available is the REGA-Algorithm in version 8.0.2 for HIV-1. http://www.rega.kuleuven.be/cev/.
Results form geno2pheno will be fetched over the Internet from www.geno2pheno.org.