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Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Bioinformatics Training Network (BTN): a community resource for bioinformatics trainers.

Maria V Schneider1, Peter Walter, Marie-Claude Blatter

  • 1EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. vicky@ebi.ac.uk

Briefings in Bioinformatics
|November 24, 2011
PubMed
Summary
This summary is machine-generated.

Funding bodies need better researcher training. The Bioinformatics Training Network (BTN) centralizes resources to address the growing demand for bioinformatics skills, overcoming challenges in course development and access.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Life Sciences Education

Background:

  • Growing demand for bioinformatics training driven by high-throughput biology.
  • Existing scientific reward structures (publish or perish) hinder high-quality training material development.
  • Abundant, yet unorganized, global training resources and expertise exist.

Purpose of the Study:

  • To address the need for accessible and high-quality bioinformatics training resources.
  • To present the Bioinformatics Training Network (BTN) as a solution for centralizing and organizing training materials.
  • To review the BTN in comparison to similar initiatives.

Main Methods:

  • Initiation of the Bioinformatics Training Network (BTN).
  • Centralization of bioinformatics training materials in a database.
  • Tagging of materials by target audience and learning objectives.
  • Peer review and efficient accessibility for downloading.

Main Results:

  • Establishment of a centralized database for bioinformatics training resources.
  • Development of a system for tagging and organizing educational content.
  • Facilitation of access to peer-reviewed training materials for researchers and educators.

Conclusions:

  • The BTN aims to bridge the gap between training needs and resource availability.
  • Centralization and organization of materials are crucial for effective bioinformatics education.
  • The BTN provides a model for addressing training challenges in rapidly evolving scientific fields.