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EMDataBank.org: unified data resource for CryoEM
2010
Nucleic Acids Research
Preserved Fulltext
global 'one-stop shop' resource for deposition and retrieval of cryoEM maps, models and associated metadata. ...
The resource unifies public access to the two major archives containing EM-based structural data: EM Data Bank (EMDB) and Protein Data Bank (PDB), and facilitates use of EM structural data of macromolecules ...
ACKNOWLEDGEMENTS We are grateful to Tom Goddard for integrating the EMDataBank.org web service into UCSF Chimera. Conflict of interest statement. None declared. ...
doi:10.1093/nar/gkq880
pmid:20935055
pmcid:PMC3013769
fatcat:ipujineisngezfbkud2ltei7eq
Unified Data Resource for Cryo-EM
[chapter]
2010
Methods in Enzymology
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a "one-stop shop" resource for global deposition and retrieval of cryoEM map, model and associated metadata. ...
The resource unifies public access to the two major EM Structural Data archives: EM Data Bank (EMDB) and Protein Data Bank (PDB), and facilitates use of EM structural data of macromolecules and macromolecular ...
The Unified Data Resource for CryoEM (EMDataBank.org) was created in order to unify data deposition, processing and retrieval of maps and fitted models. ...
doi:10.1016/s0076-6879(10)83004-6
pmid:20888470
pmcid:PMC2966391
fatcat:ncsypzwkdvh6dopessk56ubpaq
EMDataBank unified data resource for 3DEM
2015
Nucleic Acids Research
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The EMDataBank project provides a unified portal for deposition, retrieval and analysis of 3DEM density maps, atomic models and associated metadata (emdatabank.org). ...
In addition, we describe progress and approaches toward development of validation protocols and methods, working with the scientific community, in order to create a validation pipeline for 3DEM data. ...
EMDataBank Unified Data Resource for 3DEM is supported by the National Institutes of Health [R01GM079429] to Baylor College of Medicine, Rutgers University and the EMBL-European Bioinformatics Institute ...
doi:10.1093/nar/gkv1126
pmid:26578576
pmcid:PMC4702818
fatcat:6dzeejw3njcztaypxe7tvqkglq
Databases and Archiving for CryoEM
[chapter]
2016
Methods in Enzymology
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In this chapter we describe the current state of the archives, resources available for depositing, accessing, searching, visualising and validating data, on-going community-wide initiatives and opportunities ...
and bioinformatics resources. ...
EMDataBank Unified Data Resource is funded by National Institutes of Health GM079429 to Baylor College of Medicine (Wah Chiu, PI), Rutgers University (Helen Berman, co-PI), and EMBL-EBI (Gerard Kleywegt ...
doi:10.1016/bs.mie.2016.04.015
pmid:27572735
pmcid:PMC5351295
fatcat:kwqh4wmdhzb5rily4f6i2y53x4
VRmol: an Integrative Cloud-Based Virtual Reality System to Explore Macromolecular Structure
[article]
2019
bioRxiv
pre-print
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ABSTRACTPast decades have seen much effort devoted to the tool development for biomacromolecule structural visualization and analysis. ...
We thank Haitao Li (Tsinghua University) for helpful comments on the development of VRmol. We also thank Maoxiang Shi for useful suggestions to improve the efficiency of VRmol. ...
Lawson, C.L., et al., EMDataBank.org: unified data resource for CryoEM.
Nucleic Acids Res, 2011. 39(Database issue): p. D456-64.
34. ...
doi:10.1101/589366
fatcat:qjmglmp6qzfkhfk6folfesxedy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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and automatic data clustering by t-distributed stochastic neighbour embedding; adaptive learning rate clipping to stabilize learning; generative adversarial networks for compressed sensing with spiral ...
in Physics will be typeset for physical printing and binding. ...
Acknowledgements Thanks go to Jeremy Sloan and Martin Lotz for internally reviewing this article. ...
doi:10.5281/zenodo.4399748
fatcat:63ggmnviczg6vlnqugbnrexsgy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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and automatic data clustering by t-distributed stochastic neighbour embedding; adaptive learning rate clipping to stabilize learning; generative adversarial networks for compressed sensing with spiral ...
Philosophy in Physics is typeset for physical printing and binding. ...
Acknowledgements Thanks go to Jeremy Sloan and Martin Lotz for internally reviewing this article. ...
doi:10.5281/zenodo.4591029
fatcat:zn2hvfyupvdwlnvsscdgswayci
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Preserved Fulltext
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and automatic data clustering by t-distributed stochastic neighbour embedding; adaptive learning rate clipping to stabilize learning; generative adversarial networks for compressed sensing with spiral ...
Philosophy in Physics is typeset for physical printing and binding. ...
Acknowledgements Thanks go to Jeremy Sloan and Martin Lotz for internally reviewing this article. ...
doi:10.5281/zenodo.4598227
fatcat:hm2ksetmsvf37adjjefmmbakvq
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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and automatic data clustering by t-distributed stochastic neighbour embedding; adaptive learning rate clipping to stabilize learning; generative adversarial networks for compressed sensing with spiral ...
in Physics will be typeset for physical printing and binding. ...
Acknowledgements Thanks go to Jeremy Sloan and Martin Lotz for internally reviewing this article. ...
doi:10.5281/zenodo.4413249
fatcat:35qbhenysfhvza2roihx52afuy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 accepted arXiv:2101.01178v4 fatcat:sgzeils4lzgp5ibelyrlvmh3o4Other Versions
and automatic data clustering by t-distributed stochastic neighbour embedding; adaptive learning rate clipping to stabilize learning; generative adversarial networks for compressed sensing with spiral ...
in Physics will be typeset for physical printing and binding. ...
Acknowledgements Thanks go to Jeremy Sloan and Martin Lotz for internally reviewing this article. ...
doi:10.5281/zenodo.4415407
fatcat:6dejwzzpmfegnfuktrld6zgpiq
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
Preserved Fulltext
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and automatic data clustering by t-distributed stochastic neighbour embedding; adaptive learning rate clipping to stabilize learning; generative adversarial networks for compressed sensing with spiral ...
in Physics will be typeset for physical printing and binding. ...
Acknowledgements Thanks go to Jeremy Sloan and Martin Lotz for internally reviewing this article. ...
doi:10.5281/zenodo.4429792
fatcat:qs6yuapx4vdbdmwna7ix7nnwty