Michael A Cianfrocco / Indrajit Lahiri / Frank DiMaio / Andres E Leschziner /
PubMed 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 ...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 2.2 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.
EMDB-8908: Cryo-EM structure of beta-galactosidase using RELION on Amazon Web Services PDB-6drv: Beta-galactosidase Method: EM (single particle) / Resolution: 2.2 Å
Source
Escherichia coli (E. coli)
escherichia coli (strain k12) (bacteria)
Keywords
HYDROLASE / cryo-EM / Amazon Web Services / RELION
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