PLINK v1.90
Material Type
Self-paced
H3Africa Topics (Categories)
Bioinformatics Topics (EDAM Ontology)
Authors
Christopher Chang; Shaun Purcell
Institute
Mount Sinai School of Medicine and Harvard University
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The focus of PLINK is purely on analysis of genotype/phenotype data. using PLINK, researchers can read data in a variety of formats, recode and reorder files, merge two or more files, extract subsets (SNPs or individuals), flip strand of SNPs and compress data in a binary file format. PLINK also enables researchers to perform summary statistics for quality control, detect population stratification, perform basic association testing, predict multimarkers and haplotypic tests, perform copy number variant analysis and meta-analyses, among a range of other functions. PLINK is easy to use and compatible with a host of other software if additional downstream analyses are desired.