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	GT-WGS: an efficient and economic tool for large-scale WGS analyses based on the AWS cloud service
	Wang, Yiqi; Li, Gen; Ma, Mark; He, Fazhong; Song, Zhuo*; Zhang, Wei*; Wu, Chengkun
刊名	BMC Genomics
	2018
卷号	19期号:1页码:959
关键词	AWS Parallel and distributed computing Whole-genome sequencing
ISSN号	1471-2164
DOI	10.1186/s12864-017-4334-x
会议名称	16th International Conference on Bioinformatics (InCoB) - Genomics
URL标识	查看原文
会议地点	Tsinghua Univ, Grad Sch Shenzhen, Shenzhen, PEOPLES R CHINA
会议日期	SEP 20-22, 2017
WOS记录号	WOS:000422886100009
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3323028
专题	中南大学
作者单位	1.[Wang, Yiqi 2.Wu, Chengkun] Natl Univ Def Technol, Sch Comp Sci, Changsha 410000, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Wang, Yiqi,Li, Gen,Ma, Mark,et al. GT-WGS: an efficient and economic tool for large-scale WGS analyses based on the AWS cloud service[J]. BMC Genomics,2018,19(1):959.
APA	Wang, Yiqi.,Li, Gen.,Ma, Mark.,He, Fazhong.,Song, Zhuo*.,...&Wu, Chengkun.(2018).GT-WGS: an efficient and economic tool for large-scale WGS analyses based on the AWS cloud service.BMC Genomics,19(1),959.
MLA	Wang, Yiqi,et al."GT-WGS: an efficient and economic tool for large-scale WGS analyses based on the AWS cloud service".BMC Genomics 19.1(2018):959.

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