Low cost, high performance processing of single particle cryo-electron microscopy data in the cloud

被引:26
|
作者
Cianfrocco, Michael A. [1 ,2 ]
Leschziner, Andres E. [1 ]
机构
[1] Harvard Univ, Dept Mol & Cellular Biol, Cambridge, MA 02138 USA
[2] Harvard Univ, Sch Med, Dept Cell Biol, Boston, MA USA
来源
ELIFE | 2015年 / 4卷
基金
美国国家卫生研究院;
关键词
ELECTRON-MICROSCOPY; CRYO-EM; RESOLUTION; VISUALIZATION;
D O I
10.7554/eLife.06664
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The advent of a new generation of electron microscopes and direct electron detectors has realized the potential of single particle cryo-electron microscopy (cryo-EM) as a technique to generate high-resolution structures. Calculating these structures requires high performance computing clusters, a resource that may be limiting to many likely cryo-EM users. To address this limitation and facilitate the spread of cryo-EM, we developed a publicly available 'off-the-shelf' computing environment on Amazon's elastic cloud computing infrastructure. This environment provides users with single particle cryo-EM software packages and the ability to create computing clusters with 16-480+ CPUs. We tested our computing environment using a publicly available 80S yeast ribosome dataset and estimate that laboratories could determine high-resolution cryo-EM structures for $50 to $1500 per structure within a timeframe comparable to local clusters. Our analysis shows that Amazon's cloud computing environment may offer a viable computing environment for cryo-EM.
引用
收藏
页码:1 / 10
页数:10
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