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Related Concept Videos

Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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Related Experiment Video

Updated: Jun 29, 2026

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon
07:52

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

Published on: December 1, 2023

Towards a lightweight generic computational grid framework for biological research.

Mark D Halling-Brown1, David S Moss, Adrian J Shepherd

  • 1Institute of Structural and Molecular Biology, School of Crystallography, Birkbeck College, Malet Street, London, WC1E 7HX, UK. m.halling-brown@mail.cryst.bbk.ac.uk

BMC Bioinformatics
|October 4, 2008
PubMed
Summary
This summary is machine-generated.

A new framework integrates diverse computational resources for large-scale biology projects. This system simplifies access to high-throughput data analysis and complex simulations, enhancing collaborative research across multiple sites.

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Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
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Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows

Published on: September 13, 2021

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Last Updated: Jun 29, 2026

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon
07:52

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Published on: December 1, 2023

Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
09:53

Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows

Published on: September 13, 2021

Area of Science:

  • Computational Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Scientific research, especially in biology, increasingly demands large-scale computational resources.
  • High-throughput data analysis and complex simulations are crucial for fields like systems biology.

Purpose of the Study:

  • To present a generic framework for integrating distributed computational resources.
  • To provide a unified interface for accessing diverse computing power.

Main Methods:

  • Development of a lightweight, generic framework.
  • Integration of local computers, clusters, and national Grid services.
  • Creation of a detailed setup guide for the framework.

Main Results:

  • The framework successfully combines disparate computational resources from multiple sites.
  • A user-friendly interface is provided, abstracting Grid middleware complexity.
  • A setup guide is available at http://igrid-ext.cryst.bbk.ac.uk/portal_guide/.

Conclusions:

  • The framework is ideal for large-scale, multi-site biological research collaborations.
  • It offers ease of setup and a uniform access point to computational resources.
  • Developed within the European ImmunoGrid project, it facilitates complex biological research.