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Related Experiment Video

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Published on: February 8, 2017

A pitfall of wiki solution for biological databases.

Masanori Arita1

  • 1Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwanoha 5-1-5 GSFS CB05, 277-8561 Kashiwa, Japan. arita@k.u-tokyo.ac.jp

Briefings in Bioinformatics
|December 9, 2008
PubMed
Summary

Wikis can help biologists manage community data, but lack consistency checks. Adding page dependencies via in-line searches improves data reliability for biological databases.

Area of Science:

  • Bioinformatics
  • Data Management
  • Computational Biology

Background:

  • Community-driven data management is crucial in biology.
  • Wikis are often considered for collaborative data organization.
  • Basic wiki functionality has limitations for scientific databases.

Purpose of the Study:

  • To address the limitations of wiki platforms for managing biological data.
  • To propose methods for enhancing data consistency in wiki-based systems.
  • To explore solutions for using wikis as reliable biological databases.

Main Methods:

  • Implementing page dependency through in-line page searches.
  • Evaluating wiki functionality for data consistency.
  • Introducing existing approaches that support in-line queries.

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Main Results:

  • Basic wikis are unsuitable as databases due to lack of data consistency checks.
  • Page dependency via in-line searches is a necessary measure to improve wiki data reliability.
  • Existing in-line query approaches can be leveraged.

Conclusions:

  • Wikis require modifications, such as in-line page dependencies, to serve effectively as biological databases.
  • Enhancing data consistency is key to utilizing community-based platforms for scientific data.
  • Further integration of query functionalities can optimize wiki-based biological data management.