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Engineering bioinformatics: building reliability, performance and productivity into bioinformatics software.

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This summary is machine-generated.

Bioinformatics lacks software engineering expertise. Integrating professional software engineers and specialized training can bridge this gap, improving research quality and collaboration.

Keywords:
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Area of Science:

  • Bioinformatics
  • Software Engineering
  • Computational Biology

Background:

  • A significant gap exists in software engineering skills within bioinformatics.
  • Current approaches often incorrectly distinguish scientific software development from commercial software engineering.

Purpose of the Study:

  • To analyze the consequences of insufficient software engineering in bioinformatics.
  • To propose bioinformatics as a specialization of general software engineering.
  • To identify practical solutions for integrating engineering principles into research.

Main Methods:

  • Distinguishing programming from software engineering.
  • Surveying bioinformatics practitioners on software engineering practices.
  • Defining the role of a Bioinformatic Engineer.

Main Results:

  • Bioinformatic software engineering is a distinct specialization requiring specific practices.
  • A survey revealed limited adoption of key software engineering elements among practitioners.
  • The role of a Bioinformatic Engineer is proposed as a solution.

Conclusions:

  • Integrating professional software engineers into research teams is crucial.
  • Educational cross-training for software engineers in life sciences is recommended.
  • Research into Domain Specific Languages can enhance collaboration.