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No-boundary thinking in bioinformatics research.

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This review questions if bioinformatics should solely focus on computational analysis of biological data. It proposes supporting human-infrastructure (HI) with no-boundary thinking (NT) in bioinformatics (HINT).

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Biomedical Informatics

Background:

  • Current definitions of bioinformatics emphasize deriving knowledge from large-scale biological and biomedical data analysis.
  • This definition raises questions about the optimal research focus for the field of bioinformatics.

Purpose of the Study:

  • To critically evaluate the prevailing definition of bioinformatics.
  • To propose an alternative framework for bioinformatics research.
  • To introduce the concept of Human-Infrastructure (HI) and No-Boundary Thinking (NT) in bioinformatics (HINT).

Main Methods:

  • Literature review of existing bioinformatics definitions.
  • Conceptual analysis of research focus and methodologies.
  • Exploration of the Human-Infrastructure (HI) and No-Boundary Thinking (NT) paradigm.

Main Results:

  • The current definition may be too narrowly focused on data analysis.
  • A broader perspective incorporating human elements and interdisciplinary thinking is needed.
  • The proposed HINT framework offers a novel approach to advancing bioinformatics.

Conclusions:

  • Bioinformatics research should evolve beyond purely computational data analysis.
  • Integrating human-infrastructure (HI) and no-boundary thinking (NT) can enhance the field.
  • The HINT concept provides a forward-looking perspective for bioinformatics.