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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Detalles Bibliográficos
Autores principales: Slowikowski, Kamil, Hu, Xinli, Raychaudhuri, Soumya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
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

Internet

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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