NetDiseaseSNP 1.0 Server

NetDiseaseSNP server predicts whether a single non-synonymous SNP causes a disease or is invariant.

Instructions Output format Article abstract Training set


Paste one or several sequences in FASTA format into the field below or load example

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

Paste in variant data into the field below or load example

Submit a file (example} directly from your local disk:

 sort variants by disease causing potential

Advanced options

 include predictions on variants where NetDiseaseSNP and SIFT disagree. Overall performance of NetDiseaseSNP: MCC=0.67, sensitivity=0.82, specificity=0.85
 generate predictions on all variants including variants encoded with Blosum62 matrix data. Overall performance of NetDiseaseSNP: MCC=0.64, sensitivity=0.80, specificity=0.83

At most 2,000 sequences and 200,000 amino acids per submission; each sequence not more than 4,000 amino acids.

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


For publication of results, please cite:

Prediction of Disease Causing Non-Synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP.
Johansen MB, Izarzugaza JM, Brunak S, Petersen TN, Gupta R.
PLoS One. 2013 Jul 25;8(7):e68370. doi: 10.1371/journal.pone.0068370.

PMID: 23935863         View the abstract


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