PredictSNP 2.0
| Authors | |
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| Year of publication | 2015 |
| MU Faculty or unit | |
| Web | |
| 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. |
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