Comprehensive and Easy to Use Quality Control of GWAS Results

When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.


Reference manual

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1.5.2 by Alireza Ani, 8 months ago

Browse source code at

Authors: Alireza Ani [aut, cre] , Peter J. van der Most [aut] , Ahmad Vaez [aut] , Ilja M. Nolte [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports ini, futile.logger, data.table, hash, tools, ggplot2, knitr, rmarkdown, gridExtra, grid, RSQLite, kableExtra, methods, R.utils

Suggests xlsx

See at CRAN