cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud.
Cianfrocco, M.A., Lahiri, I., DiMaio, F., Leschziner, A.E.(2018) J Struct Biol 203: 230-235
- PubMed: 29864529 
- DOI: https://doi.org/10.1016/j.jsb.2018.05.014
- Primary Citation of Related Structures:  
6DRV - 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 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.
Organizational Affiliation: 
Department of Cellular & Molecular Medicine, University of California - San Diego, La Jolla, CA, United States; Life Sciences Institute, Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, United States. Electronic address: mcianfro@umich.edu.