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| Title | Low cost, high performance processing of single particle cryo-electron microscopy data in the cloud. |
|---|---|
| Journal, issue, pages | Elife, Vol. 4, Year 2015 |
| Publish date | May 8, 2015 |
 Authors | Michael A Cianfrocco / Andres E Leschziner /  |
| PubMed 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- ...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. |
 External links | Elife / PubMed:25955969 / PubMed Central |
| Methods | EM (single particle) |
| Resolution | 4.6 Å |
| Structure data |  EMDB-2858: |
| Source |
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Saccharomyces cerevisiae (brewer's yeast)