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Related Experiment Videos

Open Source Software meets gene expression.

J E Stewart1, H Mangalam, J Zhou

  • 1Open Informatics, Albuquerque, NM 87108, USA. jason@openinformatics.com

Briefings in Bioinformatics
|January 26, 2002
PubMed
Summary
This summary is machine-generated.

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Open Source Software (OSS) offers advantages over proprietary models, particularly in Gene Expression research. Funding agencies should support OSS to foster innovation and collaboration in scientific software development.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Open Source Software (OSS) development is increasingly vital in technology.
  • OSS has shown significant impact in areas like operating systems and bioinformatics.
  • Proprietary software development models have limitations.

Purpose of the Study:

  • To review the benefits of OSS compared to proprietary models.
  • To examine the impact of OSS in Gene Expression research.
  • To advocate for funding agency endorsement of OSS.

Main Methods:

  • Literature review of OSS principles.
  • Analysis of OSS case studies in bioinformatics and Gene Expression.
  • Discussion of economic and collaborative advantages of OSS.

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Main Results:

  • OSS development model demonstrates superior outcomes in specific technological domains.
  • OSS has yielded significant advancements in Gene Expression analysis.
  • OSS fosters collaboration and accelerates innovation.

Conclusions:

  • OSS is a more effective development model than proprietary alternatives for scientific software.
  • Funding agencies should mandate Open Source releases for funded projects.
  • Endorsing OSS will enhance scientific progress and reproducibility.