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simGWAS: a fast method for simulation of large scale case–control GWAS summary statistics
MOTIVATION: Methods for analysis of GWAS summary statistics have encouraged data sharing and democratized the analysis of different diseases. Ideal validation for such methods is application to simulated data, where some ‘truth’ is known. As GWAS increase in size, so does the computational complexit...
Autores principales: | Fortune, Mary D, Wallace, Chris |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546134/ https://www.ncbi.nlm.nih.gov/pubmed/30371734 http://dx.doi.org/10.1093/bioinformatics/bty898 |
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