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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...
Autores principales: | Slowikowski, Kamil, Hu, Xinli, Raychaudhuri, Soumya |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4147889/ https://www.ncbi.nlm.nih.gov/pubmed/24813542 http://dx.doi.org/10.1093/bioinformatics/btu326 |
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