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Related Experiment Video

Updated: Dec 25, 2025

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Bioinformatics and genomic medicine.

Ju Han Kim1

  • 1Children's Hospital Informatics Program, Harvard Medical School, Boston, MA 02115, USA.

Genetics in Medicine : Official Journal of the American College of Medical Genetics
|January 25, 2003
PubMed
Summary

Bioinformatics and clinical informatics are revolutionizing biomedical research and patient care. These computational approaches, using large-scale genomic data and advanced technologies, are transforming diagnostics, therapeutics, and prognostics.

Area of Science:

  • Biomedical Research
  • Computational Science
  • Bioinformatics
  • Clinical Informatics

Background:

  • The rapid growth of genomic and postgenomic data presents significant computational challenges in biomedical research.
  • Clinical informatics has historically developed methods to enhance research and care through integrated information systems.
  • The integration of bioinformatics and clinical informatics promises to reshape medical practices.

Purpose of the Study:

  • To describe the impact of informatics technologies on biomedical research and clinical care.
  • To highlight advances in biochip-based functional genomics and proteomics.
  • To discuss key computational methodologies in postgenome informatics.

Main Methods:

  • Data preprocessing techniques including normalization and filtering.

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  • Primary pattern analysis and machine-learning algorithms.
  • Integrative biochip informatics: multivariate data projection, pathway mapping, biomolecular annotation, text mining, and database management.

    • Main Results:

    • Informatics technologies, particularly biochip-based functional genomics and proteomics, are advancing biomedical understanding.
    • Computational methods are crucial for analyzing large-scale biological datasets.
    • The integration of diverse data sources and advanced analytical tools is key.

    Conclusions:

    • The informatics revolution is transforming medical practice, impacting diagnostics, therapeutics, and prognostics.
    • Postgenome informatics, driven by high-throughput technologies, is poised to fundamentally alter biomedical science.
    • Advanced informatics tools are essential for leveraging complex biological data for improved health outcomes.