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Article

A high-performance computing toolset for relatedness and principal component analysis of SNP data.

Bioinformatics (Oxford, England) - 15 Dec 2012

Zheng Xiuwen, Levine David, Shen Jess, Gogarten Stephanie M, Laurie Cathy, Weir Bruce S

Abstract excerpt

Genome-wide association studies are widely used to investigate the genetic basis of diseases and traits, but they pose many computational challenges. We developed gdsfmt and SNPRelate (R packages for multi-core symmetric multiprocessing computer architectures) to accelerate two key computations on SNP data: principal component analysis (PCA) and relatedness analysis using identity-by-descent measures. The kernels...

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PMID: 23060615
DOI: 10.1093/bioinformatics/bts606
PMCID: PMC3519454

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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