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Performance of in silico prediction tools for the classification of rare BRCA1/2 missense variants in clinical diagnostics
BACKGROUND: The use of next-generation sequencing approaches in clinical diagnostics has led to a tremendous increase in data and a vast number of variants of uncertain significance that require interpretation. Therefore, prediction of the effects of missense mutations using in silico tools has beco...
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| Publicado no: | BMC Med Genomics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870501/ https://ncbi.nlm.nih.gov/pubmed/29580235 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-018-0353-y |
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