rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated tool for Genome-Wide Association Study
Lilin Yin, Haohao Zhang, Zhenshuang Tang, Jingya Xu, Dong Yin, Zhiwu Zhang, Xiaohui Yuan, Mengjin Zhu, Shuhong Zhao, Xinyun Li, Xiaolei Liu
rMVP improves GWAS computation by offering memory efficiency, visualization tools, and parallel acceleration for faster and more scalable analysis.
Genomics Proteomics & Bioinformatics · Mar 1, 2021Peer-reviewedGenetics