PredictSNP 2.0
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F15%3A00080423" target="_blank" >RIV/00216224:14310/15:00080423 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26230/15:PR28670
Result on the web
<a href="http://loschmidt.chemi.muni.cz/predictsnp2/" target="_blank" >http://loschmidt.chemi.muni.cz/predictsnp2/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
PredictSNP 2.0
Original language description
This tool estimates the deleteriousness of single-nucleotide mutations in the context of the development of Mendelian diseases. The predictions are based on the results of existing tools: CADD, DANN, FATHMM, FunSeq2 and GWAVA. To achieve the highest possible accuracy, developed consensual functions based on category optimal decision thresholds differ according to the category of variants. These general categories are recognized: (i) regulatory, (ii) splicing, (iii) synonymous, (iv) missense and (v)nonsense variants. The evaluation on large datasets revealed a marked benefit of this approach while the web interface provides easily interpretable results for all individual tools and our consensual prediction together with the links to the relevant databases and on-line services.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA04021380" target="_blank" >TA04021380: Biosensor for monitoring of toxic compounds in the environment</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
2_2015_LL
Technical parameters
A unified web platform and consensus classifier for accurate evaluation of SNP effect by exploiting different characteristics of variants in distinct genomic regions.
Economical parameters
zvýšení ročního obratu
Owner IČO
00216224
Owner name
MU