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SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci
Summary: We created a fast, robust and general C++ implementation of a single-nucleotide polymorphism (SNP) set enrichment algorithm to identify cell types, tissues and pathways affected by risk loci. It tests trait-associated genomic loci for enrichment of specificity to conditions (cell types, tis...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4147889/ https://ncbi.nlm.nih.gov/pubmed/24813542 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu326 |
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