WhopGenome: high-speed access to whole-genome variation and sequence data in R.

doi:10.1093/bioinformatics/btu636

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Article

WhopGenome: high-speed access to whole-genome variation and sequence data in R.

Bioinformatics (Oxford, England) - 1 Feb 2015

Wittelsbürger Ulrich, Pfeifer Bastian, Lercher Martin J

Abstract excerpt

SUMMARY: The statistical programming language R has become a de facto standard for the analysis of many types of biological data, and is well suited for the rapid development of new algorithms. However, variant call data from population-scale resequencing projects are typically too large to be read and processed efficiently with R's built-in I/O capabilities. WhopGenome can efficiently read whole-genome variation...

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PMID: 25273104
DOI: 10.1093/bioinformatics/btu636

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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