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VEXOR: an integrative environment for prioritization of functional variants in fine-mapping analysis
MOTIVATION: The identification of the functional variants responsible for observed genome-wide association studies (GWAS) signals is one of the most challenging tasks of the post-GWAS research era. Several tools have been developed to annotate genetic variants by their genomic location and potential...
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| Publié dans: | Bioinformatics |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860431/ https://ncbi.nlm.nih.gov/pubmed/28453673 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw826 |
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