GAPIT, a Genome Association and Prediction Integrated Tool, was released to public in 2011 by Dr. Zhiwu Zhang when he worked in Edward Buckler Lab at Cornell University. With the base of EMMA algorithm, GAPIT package in R implemented state of art algorithms for Genome-Wide Association Study (GWAS) and genomic prediction, including Compressed Mixed Linear Model (CMLM). The corresponding paper was published at Bioinformatics (Lipka et al, 2012). Buckler Lab continues the hosting of GAPIT website after both the first author (Alex Lipka) and corresponding author (Zhiwu Zhang) joined the faculty at University of Illinois and Washing State University , respectively. This effort allows existing user to use the original links to access GAPIT.

Recent developments of GAPIT at Zhiwu Zhang Lab include the completion of ECMLM and SUPER GWAS methods, phenotype simulation, and examination of statistical power for experimental design. The most updated GAPIT documents can be download or accessed here: