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SNPs&GO | Functional annotations improve the predictive score of human disease-related mutations in proteins

Serves to the prediction of deleterious single amino acid polymorphisms (SAPs) using protein functional annotation. The WS-SNPs&GO web server is based on support vector machines (SVM) and for a given protein. It includes information derived from protein sequence, structure, evolutionary profile, and protein function. This tool is a source of annotation of protein variations in transcript and exome sequencing high throughput experiments.

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SNPs&GO classification

  • Animals
    • Homo sapiens

SNPs&GO specifications

Unique identifier:
OMICS_02219
Interface:
Web user interface
Input data:
A sequence structure.
Computer skills:
Basic
Software type:
Pipeline/Workflow
Restrictions to use:
None
Output data:
Probabilities for each protein variation to be associated to human diseases.
Stability:
Stable

SNPs&GO support

Maintainer

This tool is not maintained anymore.

Credits

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Publications

Institution(s)

Identification and annotation of SNPs in the context of structure, function, and disease Long Beach, CA, USA

Funding source(s)

This work has been supported by the European Community through the Marie Curie International Outgoing Fellowship program [PIOF-GA-2009- 237225] and COST BMBS Action TD1101; PRIN 2009 [009WXT45Y] and PON project [PON01_02249] from the Italian Ministry of Research, by a start-up funds from the Department of Pathology at the University of Alabama, Birmingham, and by NIH LM05652, LM GM102365, the NSF CNS-0619926.

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