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ProtocolNavigator: emulation-based software for the design, documentation and reproduction biological experiments.

Imtiaz A Khan1, Adam Fraser2, Mark-Anthony Bray2

  • 1School of Medicine, Cardiff University, Cardiff, UK, Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA and School of Optometry and Vision Sciences, Cardiff University, Cardiff, UK School of Medicine, Cardiff University, Cardiff, UK, Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA and School of Optometry and Vision Sciences, Cardiff University, Cardiff, UK.

Bioinformatics (Oxford, England)
|August 24, 2014
PubMed
Summary
This summary is machine-generated.

ProtocolNavigator is a new open-source software tool designed to improve the reproducibility of biological experiments. It helps researchers easily design, document, and reproduce complex experimental methodologies, enhancing scientific progress.

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Area of Science:

  • Biological Sciences
  • Bioinformatics
  • Scientific Research

Background:

  • Experimental reproducibility is crucial for scientific advancement and efficient drug discovery.
  • Irreproducible research hinders progress by decreasing efficiency and impeding data reuse.
  • Current bioinformatics tools often focus on computational reproducibility or lab management, neglecting experimental design interpretation.

Purpose of the Study:

  • To introduce ProtocolNavigator, a novel software tool addressing the challenges of interpreting and assessing biological experimental methodologies.
  • To provide a biologist-friendly, open-source solution for designing, documenting, and reproducing biological experiments.

Main Methods:

  • ProtocolNavigator was developed using Python 2.7 with a wx module for its graphical user interface.
  • The software is platform-independent, ensuring broad accessibility for researchers.
  • It employs an emulation-based approach to facilitate experiment design and reproduction.

Main Results:

  • ProtocolNavigator offers a user-friendly interface for biologists to manage experimental protocols.
  • The tool aids in clarifying complex experimental designs, thereby reducing ambiguity.
  • It facilitates the assessment of variations across different experiments, promoting reproducibility.

Conclusions:

  • ProtocolNavigator provides a valuable solution for enhancing the reproducibility of biological experiments.
  • The software's open-source and biologist-friendly nature promotes wider adoption and collaboration.
  • By improving the interpretation and documentation of experimental methods, ProtocolNavigator contributes to more efficient and reliable scientific research.