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Related Experiment Videos

Bioinformatics process management: information flow via a computational journal.

Lance Feagan1, Justin Rohrer1, Alexander Garrett1

  • 1Information and Telecommunication Technology Center, University of Kansas, Lawrence, Kansas, USA.

Source Code for Biology and Medicine
|December 7, 2007
PubMed
Summary
This summary is machine-generated.

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The Bioinformatics Computational Journal (BCJ) offers a structured framework for managing complex bioinformatics experiments. This system simplifies data sharing and computational method integration, improving research reproducibility.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Scientific Computing

Background:

  • Computational experiments in bioinformatics and computational biology are complex, often requiring ad hoc scripts.
  • Existing frameworks for managing computational experiments are not widely adopted.
  • A structured environment is needed to manage series of computations, data searches, filters, and annotations.

Purpose of the Study:

  • To present the Bioinformatics Computational Journal (BCJ) as a novel framework for conducting and managing computational experiments.
  • To provide an intuitive and extensible paradigm for composing applications in bioinformatics.
  • To facilitate the sharing of data, computational methods, and entire experiments.

Main Methods:

  • Developed a computer-based environment inspired by the laboratory notebook paradigm.

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  • Focused the scope on the specific needs of the bioinformatics and computational biology domain.
  • Implemented a system with features critical for managing computational experiments.

    • Main Results:

    • The BCJ framework enables structured management of computational experiments.
    • The system facilitates expressive composition of applications.
    • Features for sharing data, methods, and experiments are extensively supported.
    • Demonstrated the BCJ's utility through two domain-specific examples.

    Conclusions:

    • The BCJ provides a capable and domain-specific solution for managing bioinformatics computational experiments.
    • The framework addresses the limitations of ad hoc scripting and promotes better research practices.
    • The BCJ's design enhances the sharing and reproducibility of computational biology research.