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Article

SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci.

Bioinformatics (Oxford, England) - 1 Sept 2014

Slowikowski Kamil, Hu Xinli, Raychaudhuri Soumya

Abstract excerpt

UNLABELLED: 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, tissues and pathways). We use a non-parametric statistical approach to compute empirical P-values by comparison...

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Identifiers

PMID: 24813542
DOI: 10.1093/bioinformatics/btu326
PMCID: PMC4147889

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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