MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics | Zendy

Alan E Murphy | Zendy; Brian M. Schilder | Zendy; Nathan Skene | Zendy

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MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics

Author(s) -

Alan E Murphy,

Brian M. Schilder,

Nathan Skene

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab665

Subject(s) - bioconductor , standardization , computer science , statistic , summary statistics , genome wide association study , file format , computational statistics , data mining , r package , quality (philosophy) , data file , information retrieval , statistics , database , programming language , operating system , biology , mathematics , machine learning , biochemistry , gene , single nucleotide polymorphism , genotype , philosophy , epistemology

Genome-wide association studies (GWAS) summary statistics have popularized and accelerated genetic research. However, a lack of standardization of the file formats used has proven problematic when running secondary analysis tools or performing meta-analysis studies.

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