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Systematic Computational Identification of Variants That Activate Exonic and Intronic Cryptic Splice Sites
We developed a variant-annotation method that combines sequence-based machine-learning classification with a context-dependent algorithm for selecting splice variants. Our approach is distinctive in that it compares the splice potential of a sequence bearing a variant with the splice potential of th...
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| Publicat a: | Am J Hum Genet |
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| Autors principals: | , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5420354/ https://ncbi.nlm.nih.gov/pubmed/28475858 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2017.04.001 |
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