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

ABSTRACT: 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 la

SUBMITTER: Cianfrocco MA 

PROVIDER: S-EPMC4440898 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature