ArticleJournal of structural biology2018
cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud.
Article in Journal of structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- GoToCloud optimization of cloud computing environment for accelerating cryo-EM structure-based drug design.Communications biology · 2024Article
- A structure-based mechanism for initiation of AP-3 coated vesicle formation.bioRxiv : the preprint server for biology · 2024Article
- Big data in contemporary electron microscopy: challenges and opportunities in data transfer, compute and management.Histochemistry and cell biology · 2023Review
- Matrix-Landing Mass Spectrometry for Electron Microscopy Imaging of Native Protein Complexes.Analytical chemistry · 2022Article
- Broadening access to cryoEM through centralized facilities.Trends in biochemical sciences · 2022Review
- Detection of Coronaviruses Using RNA Toehold Switch Sensors.International journal of molecular sciences · 2021Article
- Structural insights into assembly and function of the RSC chromatin remodeling complex.Nature structural & molecular biology · 2021Article
- Structure and dynamics of the ASB9 CUL-RING E3 Ligase.Nature communications · 2020Article
- Advances in methods for atomic resolution macromolecular structure determination.F1000Research · 2020Review
- Filling Adeno-Associated Virus Capsids: Estimating Success by Cryo-Electron Microscopy.Human gene therapy · 2019Article
- 3.1 Å structure of yeast RNA polymerase II elongation complex stalled at a cyclobutane pyrimidine dimer lesion solved using streptavidin affinity grids.Journal of structural biology · 2019Article
- Methods for merging data sets in electron cryo-microscopy.Acta crystallographica. Section D, Structural biology · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.