rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated Tool for Genome-wide Association Study

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 para...

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Detalles Bibliográficos
Autores principales: Yin, Lilin, Zhang, Haohao, Tang, Zhenshuang, Xu, Jingya, Yin, Dong, Zhang, Zhiwu, Yuan, Xiaohui, Zhu, Mengjin, Zhao, Shuhong, Li, Xinyun, Liu, Xiaolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Application Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040015/
https://www.ncbi.nlm.nih.gov/pubmed/33662620
http://dx.doi.org/10.1016/j.gpb.2020.10.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040015/
https://www.ncbi.nlm.nih.gov/pubmed/33662620
http://dx.doi.org/10.1016/j.gpb.2020.10.007

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