https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2018Cianfrocco_cloud 2026-05-24T22:01:26Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2018Cianfrocco_cloud&diff=3435&oldid=prev 2019-01-31T06:52:45Z

<p>Created page with &quot;== Citation == Cianfrocco, M. A.; Lahiri, I.; DiMaio, F. and Leschziner, A. E. cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud. Journal...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Cianfrocco, M. A.; Lahiri, I.; DiMaio, F. and Leschziner, A. E. cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud. Journal of structural biology, 2018, 203, 230-235 <br /> <br /> == Abstract ==<br /> <br /> Access to streamlined computational resources remains a significant bottleneck for new users of cryo-electron microscopy (cryo-EM). To address this, we have developed tools that will submit cryo-EM analysis routines and atomic model building jobs directly to Amazon Web Services (AWS) from a local computer or laptop. These new software tools (&quot;cryoem-cloud-tools&quot;) have incorporated optimal data movement, security, and cost-saving strategies, giving novice users access to complex cryo-EM data processing pipelines. Integrating these tools into the RELION processing pipeline and graphical user interface we determined a 2.2 Å structure of ß-galactosidase in ∼55 h on AWS. We implemented a similar strategy to submit Rosetta atomic model building and refinement to AWS. These software tools dramatically reduce the barrier for entry of new users to cloud computing for cryo-EM and are freely available at cryoem-tools.cloud. <br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.sciencedirect.com/science/article/pii/S1047847718301382<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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