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In silico analysis of missense substitutions using sequence-alignment based methods
Genetic testing for mutations in high-risk cancer susceptibility genes often reveals missense substitutions that are not easily classified as pathogenic or neutral. Among the methods that can help in their classification are computational analyses. Predictions of pathogenic vs neutral, or the probab...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3431198/ https://ncbi.nlm.nih.gov/pubmed/18951440 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.20892 |
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