SNPsea
SNPsea is a C++ implementation of a single-nucleotide polymorphism (SNP) set enrichment algorithm that identifies cell types, tissues, and pathways affected by risk loci. It uses a non-parametric statistical approach to compute empirical p-values by comparison with null SNP sets. SNPsea is available at http://broadinstitute.org/mpg/snpsea, and it has been applied to four sets of genome-wide significant SNPs associated with red blood cell count, multiple sclerosis, celiac disease, and HDL cholesterol. Supplementary data are available at Bioinformatics online.
Topic
Functional genomics
Detail
Operation: Gene-set enrichment analysis
Software interface: Command-line user interface
Language: R;C++;Python
License: Other
Cost: Free
Version name: v1.0.3
Credit: The National Institutes of Health, the Arthritis Foundation, the Doris Duke Foundation.
Input: -
Output: -
Contact: Kamil Slowikowski slowikow@broadinstitute.org, Soumya Raychaudhuri soumya@broadinstitute.org
Collection: -
Maturity: Stable
Publications
- SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci.
- Slowikowski K, et al. SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci. SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci. 2014; 30:2496-7. doi: 10.1093/bioinformatics/btu326
- https://doi.org/10.1093/bioinformatics/btu326
- PMID: 24813542
- PMC: PMC4147889
Download and documentation
Documentation: https://readthedocs.org/projects/snpsea/downloads/pdf/latest/
Home page: http://pubs.broadinstitute.org/mpg/snpsea/
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