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Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications
Predicting the impact of coding and noncoding variants on splicing is challenging, particularly in non-canonical splice sites, leading to missed diagnoses in patients. Existing splice prediction tools are complementary but knowing which to use for each splicing context remains difficult. Here, we de...
Autores principales: | Sullivan, Patricia J., Gayevskiy, Velimir, Davis, Ryan L., Wong, Marie, Mayoh, Chelsea, Mallawaarachchi, Amali, Hort, Yvonne, McCabe, Mark J., Beecroft, Sarah, Jackson, Matilda R., Arts, Peer, Dubowsky, Andrew, Laing, Nigel, Dinger, Marcel E., Scott, Hamish S., Oates, Emily, Pinese, Mark, Cowley, Mark J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10190034/ https://www.ncbi.nlm.nih.gov/pubmed/37198692 http://dx.doi.org/10.1186/s13059-023-02936-7 |
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