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Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors

Abstract Background Variant interpretation is essential for identifying patients’ disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with...

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Principais autores: Yu-Jen Lin, Arul S. Menon, Zhiqiang Hu, Steven E. Brenner
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2024-08-01
Series:Human Genomics
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Acceso en liña:https://doi.org/10.1186/s40246-024-00663-z
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