DIVE: a data intensive visualization engine

被引：7
|
作者：
Bromley, Dennis [1 ]
Rysavy, Steven J. [1 ]
Su, Robert [2 ]
Toofanny, Rudesh D. [2 ]
Schmidlin, Tom [2 ]
Daggett, Valerie [1 ,2 ]
机构：
[1] Univ Washington, Sch Med, Div Biomed & Hlth Informat, Seattle, WA 98195 USA
[2] Univ Washington, Dept Bioengn, Seattle, WA 98195 USA
来源：
BIOINFORMATICS | 2014年 / 30卷 / 04期
基金：
美国国家卫生研究院;
关键词：
AMYOTROPHIC-LATERAL-SCLEROSIS; SUPEROXIDE-DISMUTASE; MUTATIONS; RESCUE; P53;
D O I：
10.1093/bioinformatics/btt721
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Modern scientific investigation is generating increasingly larger datasets, yet analyzing these data with current tools is challenging. DIVE is a software framework intended to facilitate big data analysis and reduce the time to scientific insight. Here, we present features of the framework and demonstrate DIVE's application to the Dynameomics project, looking specifically at two proteins.
引用
收藏
页码：593 / 595
页数：3
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