ArticleStructure (London, England : 1993)2017
TomoMiner and TomoMinerCloud: A Software Platform for Large-Scale Subtomogram Structural Analysis.
Article in Structure (London, England : 1993), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- AITom: AI-guided cryo-electron tomography image analyses toolkit.Journal of structural biology · 2025Article
- Computational Methods Toward Unbiased Pattern Mining and Structure Determination in Cryo-Electron Tomography Data.Journal of molecular biology · 2023Review
- Computational methods forFrontiers in cellular and infection microbiology · 2023Review
- Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms.Frontiers in physiology · 2022Article
- Assessment of scoring functions to rank the quality of 3D subtomogram clusters from cryo-electron tomography.Journal of structural biology · 2021Article
- Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization.BMC bioinformatics · 2019Article
- De Novo Structural Pattern Mining in Cellular Electron Cryotomograms.Structure (London, England : 1993) · 2019Article
- Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching.BMVC : proceedings of the British Machine Vision Conference. British Machine Vision Conference · 2018Article
- An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification.Bioinformatics (Oxford, England) · 2018Article
- A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation.Journal of structural biology · 2018Article
- Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.Bioinformatics (Oxford, England) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cryo-electron tomography (cryo-ET) captures the 3D electron density distribution of macromolecular complexes in close to native state. With the rapid advance of cryo-ET acquisition technologies, it is possible to generate large numbers (>100,000) of subtomograms, each containing a macromolecular complex. Often, these subtomograms represent a heterogeneous sample due to variations in the structure and composition of a complex in situ form or because particles are a mixture of different complexes. In this case subtomograms must be classified. However, classification of large numbers of subtomograms is a time-intensive task and often a limiting bottleneck. This paper introduces an open source software platform, TomoMiner, for large-scale subtomogram classification, template matching, subtomogram averaging, and alignment. Its scalable and robust parallel processing allows efficient classification of tens to hundreds of thousands of subtomograms. In addition, TomoMiner provides a pre-configured TomoMinerCloud computing service permitting users without sufficient computing resources instant access to TomoMiners high-performance features.
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.