Article
rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study.
Genomics, proteomics & bioinformatics - 1 Aug 2021
Yin Lilin, Zhang Haohao, Tang Zhenshuang, Xu Jingya, Yin Dong, Zhang Zhiwu, Yuan Xiaohui, Zhu Mengjin, Zhao Shuhong, Li Xinyun, Liu Xiaolei
Abstract excerpt
Along with the development of high-throughput sequencing technologies, both sample size and SNP number are increasing rapidly in genome-wide association studies (GWAS), and the associated computation is more challenging than ever. Here, we present a memory-efficient, visualization-enhanced, and parallel-accelerated R package called "rMVP" to address the need for improved GWAS computation. rMVP can 1) effectively...
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