ArticleeLife2015
Low cost, high performance processing of single particle cryo-electron microscopy data in the cloud.
Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- GoToCloud optimization of cloud computing environment for accelerating cryo-EM structure-based drug design.Communications biology · 2024Article
- Big data in contemporary electron microscopy: challenges and opportunities in data transfer, compute and management.Histochemistry and cell biology · 2023Review
- Scipion3: A workflow engine for cryo-electron microscopy image processing and structural biology.Biological imaging · 2023Article
- High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines.Structure (London, England : 1993) · 2020Article
- Direct visualization of degradation microcompartments at the ER membrane.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Separating distinct structures of multiple macromolecular assemblies from cryo-EM projections.Journal of structural biology · 2020Article
- 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
- Electron microscopy snapshots of single particles from single cells.The Journal of biological chemistry · 2019Article
- cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud.Journal of structural biology · 2018Article
- Big data in cryoEM: automated collection, processing and accessibility of EM data.Current opinion in microbiology · 2018Review
- Article
- Article
- Best practices for managing large CryoEM facilities.Journal of structural biology · 2017Article
- TomoMiner and TomoMinerCloud: A Software Platform for Large-Scale Subtomogram Structural Analysis.Structure (London, England : 1993) · 2017Article
- Structural Study of Heterogeneous Biological Samples by Cryoelectron Microscopy and Image Processing.BioMed research international · 2017Review
- Review
- Molecular dynamics-based refinement and validation for sub-5 Å cryo-electron microscopy maps.eLife · 2016Article
- An introduction to sample preparation and imaging by cryo-electron microscopy for structural biology.Methods (San Diego, Calif.) · 2016Article
- The changing landscape of membrane protein structural biology through developments in electron microscopy.Molecular membrane biology · 2016Review
- Low cost, high performance processing of single particle cryo-electron microscopy data in the cloud.eLife · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The advent of a new generation of electron microscopes and direct electron detectors has realized the potential of single particle cryo-electron microscopy (cryo-EM) as a technique to generate high-resolution structures. Calculating these structures requires high performance computing clusters, a resource that may be limiting to many likely cryo-EM users. To address this limitation and facilitate the spread of cryo-EM, we developed a publicly available 'off-the-shelf' computing environment on Amazon's elastic cloud computing infrastructure. This environment provides users with single particle cryo-EM software packages and the ability to create computing clusters with 16-480+ CPUs. We tested our computing environment using a publicly available 80S yeast ribosome dataset and estimate that laboratories could determine high-resolution cryo-EM structures for $50 to $1500 per structure within a timeframe comparable to local clusters. Our analysis shows that Amazon's cloud computing environment may offer a viable computing environment for cryo-EM.
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.