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Related Concept Videos

Applications of EMF Measurements01:26

Applications of EMF Measurements

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Electromotive force (EMF) measurements have a broad range of applications in various fields, including chemistry and physics. The electrochemical series, an arrangement of elements in order of their standard electrode potentials, can be determined through EMF measurements. Elements with lower standard potentials can reduce ions of elements with higher standard potentials.The standard cell potential, E°, allows for the calculation of the standard reaction Gibbs energy, ΔG°, and...
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A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
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Recent developments in the CCP-EM software suite.

Tom Burnley1, Colin M Palmer1, Martyn Winn1

  • 1Scientific Computing Department, Science and Technology Facilities Council, Research Complex at Harwell, Didcot OX11 0FA, England.

Acta Crystallographica. Section D, Structural Biology
|June 6, 2017
PubMed
Summary
This summary is machine-generated.

The Collaborative Computational Project for Electron cryo-Microscopy (CCP-EM) developed a software framework for cryo-EM data analysis. This user-friendly suite simplifies access to various programs, aiding model building and refinement in cryo-EM reconstructions.

Keywords:
CCP-EMCollaborative Computational Project for Electron cryo-Microscopycryo-EM

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Cryo-electron microscopy (cryo-EM) requires robust computational tools for data processing and analysis.
  • The cryo-EM community needs integrated software solutions for efficient workflow management.
  • Developing accessible computational frameworks is crucial for advancing cryo-EM research.

Purpose of the Study:

  • To present the design and functionality of the CCP-EM software framework.
  • To provide a unified platform for accessing diverse cryo-EM programs and utilities.
  • To highlight the framework's capabilities in atomic model building and refinement for cryo-EM reconstructions.

Main Methods:

  • Development of a Python-based software framework encapsulating various cryo-EM programs.
  • Implementation of task wrappers for seamless integration of different software components.
  • Provision of both graphical user interface (GUI) and command-line interface (CLI) for accessibility.
  • Inclusion of tools for project and data management within the framework.

Main Results:

  • A comprehensive software suite enabling easy access to a range of cryo-EM programs.
  • User-friendly GUI and scriptable CLI for diverse user needs.
  • Effective tools for project and data management.
  • Demonstrated strengths in building and refining atomic models into cryo-EM reconstructions.

Conclusions:

  • The CCP-EM software framework provides essential computational support for the cryo-EM community.
  • The integrated suite enhances efficiency and accessibility in cryo-EM data analysis.
  • The framework's capabilities, particularly in model building and refinement, advance structural determination using cryo-EM.