PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations

Type

software

Language

English

Authors

Bendl Jaroslav, Ing., Ph.D., DIFS (FIT)
Štourač Jan
Šalanda Ondřej, Ing.
Pavelka Antonín
Wieben Eric
Zendulka Jaroslav, doc. Ing., CSc., DIFS (FIT)
Brezovský Jan
Damborský Jiří, prof. Mgr., Dr., UMEL (FEEC)

Description

Thistool estimates the effect of amino acid substitutions on proteinfunction. The predictions are based on the results of the existingtools MAPP, PhD-SNP, PolyPhen-1, PolyPhen-2, SIFT and SNAP. Theprinciple of consensual approach is described in: "Bendl et. al.(2014) PredictSNP: Robust and Accurate Consensus Classifier forPrediction of Disease-Related Mutations. PLoS Computational Biology,10.". The user interface shows not only the overall results and theresults of underlying tools but also the experimental annotationsextracted from PMD and Uniprot databases.

Keywords

SNP, single nucleotide polymorphism, SNV, single nucleotide variant, pathogenicity prediction, disease-related mutations

URL

http://loschmidt.chemi.muni.cz/predictsnp/

License

Use of the result by another entity is possible without acquiring a license in some cases

License Fee

The licensor does not require a license fee for the result

License Conditions

The tool is freely available for the academic community. It cannot be used for commercial purposes (to protect the rights of third parties - integrated methods with non-free licence).

Files

gz predictsnp-1.0.tar.gz 7 kB

Departments

Department of Information Systems (DIFS)