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Related Experiment Video

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Genomic MRI - a Public Resource for Studying Sequence Patterns within Genomic DNA
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EMDB Web Resources.

Sanja Abbott1, Andrii Iudin1, Paul K Korir1

  • 1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK.

Current Protocols in Bioinformatics
|July 17, 2018
PubMed
Summary
This summary is machine-generated.

The Electron Microscopy Data Bank (EMDB) offers accessible 3D reconstructions from electron microscopy (EM) data. EMBL-EBI provides web tools for searching, visualizing, and analyzing EMDB structures, enhancing data reuse and validation.

Keywords:
Cryo-electron microscopyEMDBelectron tomographysearchsingle particle image processingstructurevalidation

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Area of Science:

  • Structural Biology
  • Biophysics
  • Cell Biology

Background:

  • The Electron Microscopy Data Bank (EMDB) is a crucial global archive for 3D reconstructions from electron microscopy (EM) data.
  • Effective data reuse and accessibility are paramount for advancing biomolecular and cellular research.

Purpose of the Study:

  • To provide protocols for utilizing EMBL-EBI's web-based resources for accessing and analyzing EMDB data.
  • To enhance the discoverability, visualization, statistical analysis, and validation of EMDB structures.

Main Methods:

  • Development of web-based resources by EMBL-EBI for EMDB data.
  • Implementation of search functionalities including quick links, filtered browsing, and form-based search.
  • Introduction of 'Volume Slicer' for interactive visualization and 'EMstats' web service for statistical analysis.

Main Results:

  • Protocols enable efficient searching of the EMDB archive.
  • Interactive tools facilitate visualization and statistical analysis of EMDB entries.
  • Dedicated validation pages provide essential quality control information for each structure.

Conclusions:

  • EMBL-EBI's web resources significantly improve the accessibility and utility of EMDB data.
  • These tools empower researchers to effectively search, visualize, analyze, and validate electron microscopy-derived structures.
  • Enhanced data management and analysis promote reproducibility and accelerate discoveries in structural and cellular biology.