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Despite the recent advances of modern GWAS methods, it still remains an important problem of addressing calculation an effect size and corresponding p-value for the whole gene rather than for single variant. The R- package rqt offers gene-level GWAS meta-analysis. For more information, see: "Gene-set association tests for next-generation sequencing data" by Lee et al (2016), Bioinformatics, 32(17), i611-i619, <doi:10.1093/bioinformatics/btw429>.
Package details |
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Author | I. Y. Zhbannikov, K. G. Arbeev, A. I. Yashin. |
Bioconductor views | GenomeWideAssociation PrincipalComponent Regression Sequencing StatisticalMethod Survival |
Maintainer | Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu> |
License | GPL |
Version | 1.16.0 |
URL | https://github.com/izhbannikov/rqt |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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