Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8648158 | Journal of Structural Biology | 2018 | 21 Pages |
Abstract
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 (“cryoem-cloud-tools”) 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 2.2â¯Ã
structure of Ã-galactosidase in â¼55â¯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.
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Authors
Michael A. Cianfrocco, Indrajit Lahiri, Frank DiMaio, Andres E. Leschziner,