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Performance of In Silico Prediction Tools for the Detection of Germline Copy Number Variations in Cancer Predisposition Genes in 4208 Female Index Patients with Familial Breast and Ovarian Cancer
SIMPLE SUMMARY: The identification of germline copy number variants (CNVs) by targeted nextgeneration sequencing frequently relies on in silico prediction tools with unknown sensitivities. We investigated the performances of four in silico CNV prediction tools in 17 cancer predisposition genes in a...
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| Publicado no: | Cancers (Basel) |
|---|---|
| Main Authors: | , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7794674/ https://ncbi.nlm.nih.gov/pubmed/33401422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers13010118 |
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