About: SnpEff

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SnpEff is an open source tool that annotates variants and predicts their effects on genes by using an interval forest approach. This program takes pre-determined variants listed in a data file that contains the nucleotide change and its position and predicts if the variants are deleterious. This program was first created by Pablo Cingolani to predict effects of single nucleotide polymorphisms (SNPs) in Drosophila, and is now widely used at many universities such as Harvard University, UC Berkeley, Stanford University etc. SnpEff has been used for various applications – from personalized medicine at Stanford University, to profiling bacteria. This annotation and prediction software can be compared to ANNOVAR and Variant Effect Predictor, but each use different nomenclatures

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  • SnpEff is an open source tool that annotates variants and predicts their effects on genes by using an interval forest approach. This program takes pre-determined variants listed in a data file that contains the nucleotide change and its position and predicts if the variants are deleterious. This program was first created by Pablo Cingolani to predict effects of single nucleotide polymorphisms (SNPs) in Drosophila, and is now widely used at many universities such as Harvard University, UC Berkeley, Stanford University etc. SnpEff has been used for various applications – from personalized medicine at Stanford University, to profiling bacteria. This annotation and prediction software can be compared to ANNOVAR and Variant Effect Predictor, but each use different nomenclatures (en)
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  • SnpEff (en)
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  • 53334247 (xsd:integer)
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  • 7458 (xsd:nonNegativeInteger)
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  • 1094437944 (xsd:integer)
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  • Pablo Cingolani (en)
dbp:description
  • Tool that annotates variants and predicts their coding effects. (en)
dbp:license
  • open source - LGPLv3 (en)
dbp:released
  • 2012 (xsd:integer)
dbp:title
  • SnpEff (en)
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dc:description
  • Tool that annotates variants and predicts their coding effects.
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  • SnpEff is an open source tool that annotates variants and predicts their effects on genes by using an interval forest approach. This program takes pre-determined variants listed in a data file that contains the nucleotide change and its position and predicts if the variants are deleterious. This program was first created by Pablo Cingolani to predict effects of single nucleotide polymorphisms (SNPs) in Drosophila, and is now widely used at many universities such as Harvard University, UC Berkeley, Stanford University etc. SnpEff has been used for various applications – from personalized medicine at Stanford University, to profiling bacteria. This annotation and prediction software can be compared to ANNOVAR and Variant Effect Predictor, but each use different nomenclatures (en)
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  • SnpEff (en)
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