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Bioconductor: open software development for computational biology and bioinformatics.

Robert C Gentleman1, Vincent J Carey, Douglas M Bates

  • 1Department of Biostatistical Science, Dana-Farber Cancer Institute, 44 Binney St, Boston, MA 02115, USA. rgentlem@jimmy.harvard.edu

Genome Biology
|October 6, 2004
PubMed
Summary

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This summary is machine-generated.

The Bioconductor project fosters collaborative software development in bioinformatics. It aims to increase accessibility and reproducibility in computational biology research.

Area of Science:

  • Computational biology
  • Bioinformatics software

Background:

  • The need for robust, extensible software in interdisciplinary biological research.
  • Challenges in accessing and utilizing computational tools for biological data analysis.

Purpose of the Study:

  • To introduce the Bioconductor project, a collaborative initiative for bioinformatics software.
  • To outline the project's goals: fostering innovation, collaboration, and reproducibility.
  • To detail the project's methods, challenges, and comparisons with other open-source bioinformatics efforts.

Main Methods:

  • Describing the aims and methodologies of the Bioconductor project.
  • Identifying current challenges in bioinformatics software development and adoption.
  • Comparing Bioconductor with other open bioinformatics initiatives.

Related Experiment Videos

  • Providing practical examples of Bioconductor's application.

    • Main Results:

    • Bioconductor facilitates collaborative creation of extensible bioinformatics software.
    • The project addresses barriers to interdisciplinary research and promotes reproducibility.
    • Working examples demonstrate the utility and application of Bioconductor tools.

    Conclusions:

    • Bioconductor is a vital resource for the computational biology community.
    • The project successfully promotes collaborative development and widespread use of innovative software.
    • Bioconductor enhances the reproducibility and accessibility of bioinformatics research.