Matrix eQTL: ultra fast eQTL analysis via large matrix operations | Zendy

Andrey A. Shabalin | Zendy

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Matrix eQTL: ultra fast eQTL analysis via large matrix operations

Author(s) -

Andrey A. Shabalin

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts163

Subject(s) - matrix (chemical analysis) , computer science , expression quantitative trait loci , chemistry , biology , genetics , chromatography , gene , genotype , single nucleotide polymorphism

Expression quantitative trait loci (eQTL) analysis links variations in gene expression levels to genotypes. For modern datasets, eQTL analysis is a computationally intensive task as it involves testing for association of billions of transcript-SNP (single-nucleotide polymorphism) pair. The heavy computational burden makes eQTL analysis less popular and sometimes forces analysts to restrict their attention to just a small subset of transcript-SNP pairs. As more transcripts and SNPs get interrogated over a growing number of samples, the demand for faster tools for eQTL analysis grows stronger.

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