Open AccessMungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics
Author(s) -
Alan 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 , file format , genome wide association study , computational statistics , r package , data mining , data file , information retrieval , statistics , database , programming language , operating system , biology , mathematics , machine learning , single nucleotide polymorphism , biochemistry , gene , genotype
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.