We present CloudSTRUCTURE, an application for running parallel analyses with the population genetics program STRUCTURE. The HPC ready application, powered by iPlant cyber-infrastructure, provides a fast (by parallelization) and convenient (through a user friendly GUI) way to calculate like-lihood values across multiple values of K (number of genetic groups) and numbers of iterations. The results are automati-cally summarized for easier determination of the K value that best fit the data. In addition, CloudSTRUCTURE will reformat STRUCTURE output for use in downstream programs, such as TASSEL for association analysis with population structure ef-fects stratified.
Cite
@article{arxiv.1408.4081,
title = {CloudSTRUCTURE: infer population STRUCTURE on the cloud},
author = {Liya Wang and Doreen Ware},
journal= {arXiv preprint arXiv:1408.4081},
year = {2014}
}