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Human Splicing Finder: an online bioinformatics tool to predict splicing signals
Thousands of mutations are identified yearly. Although many directly affect protein expression, an increasing proportion of mutations is now believed to influence mRNA splicing. They mostly affect existing splice sites, but synonymous, non-synonymous or nonsense mutations can also create or disrupt...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2009
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2685110/ https://ncbi.nlm.nih.gov/pubmed/19339519 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkp215 |
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