PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies
Published in Communications Biology, 2022
Recommended citation: Coll F, Gouliouris T, Bruchmann S, et al. PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies. Communications Biology. 2022;5(1):266. doi:10.1038/s42003-022-03194-2 https://www.nature.com/articles/s42003-022-03194-2
Genome-wide association studies (GWAS) have been used to investigate the genetic basis of bacterial traits but approaches to perform power calculations for bacterial GWAS are limited. Here I implemented two alternative approaches to conduct power calculations using existing collections of bacterial genomes. I designed the analytical approach, implemented the computational pipeline (including code in Python, Docker and Nextflow) and run all in silico experiments.
Recommended citation: Coll F, Gouliouris T, Bruchmann S, et al. PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies. Communications Biology. 2022;5(1):266. doi:10.1038/s42003-022-03194-2