| Literature DB >> 29864529 |
Michael A Cianfrocco1, Indrajit Lahiri2, Frank DiMaio3, Andres E Leschziner4.
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 2.2 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.Entities:
Keywords: Amazon Web Services; Cloud computing; Cryo-electron microscopy
Mesh:
Substances:
Year: 2018 PMID: 29864529 PMCID: PMC6091888 DOI: 10.1016/j.jsb.2018.05.014
Source DB: PubMed Journal: J Struct Biol ISSN: 1047-8477 Impact factor: 2.867