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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F13%3APR27527%21RIV14-MSM-26230___
rdf:type
skos:Concept n18:Vysledek
rdfs:seeAlso
http://loschmidt.chemi.muni.cz/predictsnp/
dcterms:description
This tool estimates the effect of amino acid substitutions on protein function. The predictions are based on the results of the existing tools MAPP, PhD-SNP, PolyPhen-1, PolyPhen-2, SIFT and SNAP. The principle of consensual approach is described in: %22Bendl et. al. (2014) PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. PLoS Computational Biology, 10.%22. The user interface shows not only the overall results and the results of underlying tools but also the experimental annotations extracted from PMD and Uniprot databases. This tool estimates the effect of amino acid substitutions on protein function. The predictions are based on the results of the existing tools MAPP, PhD-SNP, PolyPhen-1, PolyPhen-2, SIFT and SNAP. The principle of consensual approach is described in: %22Bendl et. al. (2014) PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations. PLoS Computational Biology, 10.%22. The user interface shows not only the overall results and the results of underlying tools but also the experimental annotations extracted from PMD and Uniprot databases.
dcterms:title
PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations
skos:prefLabel
PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations
skos:notation
RIV/00216305:26230/13:PR27527!RIV14-MSM-26230___
n18:predkladatel
n19:orjk%3A26230
n3:aktivita
n8:I
n3:aktivity
I
n3:dodaniDat
n13:2014
n3:domaciTvurceVysledku
n5:6512119 n5:3725340 n5:9190066
n3:druhVysledku
n9:R
n3:duvernostUdaju
n17:S
n3:ekonomickeParametry
Nástroj je volně dostupný pro akademickou komunitu. Nelze použít pro komerční účely (z důvodu ochrany práv třetích stran - několika integrovaných metod s nesvobodnou licencí).
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
98632
n3:idVysledku
RIV/00216305:26230/13:PR27527
n3:interniIdentifikace
PredictSNP
n3:jazykVysledku
n4:eng
n3:klicovaSlova
SNP, single nucleotide polymorphism, SNV, single nucleotide variant, pathogenicity prediction, disease-related mutations
n3:klicoveSlovo
n11:SNP n11:pathogenicity%20prediction n11:single%20nucleotide%20polymorphism n11:disease-related%20mutations n11:SNV n11:single%20nucleotide%20variant
n3:kontrolniKodProRIV
[33F1CC2B4A7B]
n3:obor
n15:JC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
8
n3:rokUplatneniVysledku
n13:2013
n3:technickeParametry
Pro informace o licenčních podmínkách prosím kontaktujte: Mgr. Michaela Kavková, Výzkumné centrum informačních technologií, Fakulta informačních technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 470.
n3:tvurceVysledku
Bendl, Jaroslav Štourač, Jan Zendulka, Jaroslav Brezovský, Jan Damborský, Jiří Šalanda, Ondřej Pavelka, Antonín Wieben, Eric
n3:vlastnik
n10:vlastnikVysledku
n3:vyuzitiJinymSubjektem
n12:N
n14:organizacniJednotka
26230