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Article

ParallABEL: an R library for generalized parallelization of genome-wide association studies.

BMC bioinformatics - 29 Apr 2010

Sangket Unitsa, Mahasirimongkol Surakameth, Chantratita Wasun, Tandayya Pichaya, Aulchenko Yurii S

Abstract excerpt

BACKGROUND: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially those involving thousands of individuals and consuming hours to months, will benefit from parallel computation. It is arduous acquiring the necessary programming skills to correctly partition and distribute data, control and monitor tasks...

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PMID: 20429914
DOI: 10.1186/1471-2105-11-217
PMCID: PMC2879286

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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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