Abstract
Summary: This paper reviews the central concepts and implementation of data structures and methods for studying genetics of gene expression with the GGtools package of Bioconductor. Illustration with a HapMap+expression dataset is provided. © 2007 Oxford University Press.
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CITATION STYLE
APA
Carey, V. J., Morgan, M., Falcon, S., Lazarus, R., & Gentleman, R. (2007). GGtools: Analysis of genetics of gene expression in bioconductor. Bioinformatics, 23(4), 522–523. https://doi.org/10.1093/bioinformatics/btl628
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