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Related Experiment Videos

Computational gene discovery and human disease

C J Rawlings1, D B Searls

  • 1SmithKline Beecham Pharmaceuticals, Department of Bioinformatics, Harlow, Essex, UK. Chris_Rawlings-1@sbphrd.com

Current Opinion in Genetics & Development
|June 1, 1997
PubMed
Summary
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Bioinformatics is crucial for human molecular genetics, aiding in gene structure prediction and function identification. Analyzing genome data from model organisms is key for characterizing disease genes.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Genetics

Background:

  • Bioinformatics is indispensable in modern human molecular genetics research.
  • Gene structure prediction methods are vital for genomic sequencing, protein derivation, and intron/exon junction identification.

Purpose of the Study:

  • To highlight the essential role of bioinformatics in human molecular genetics.
  • To discuss methods for gene structure prediction and function identification.
  • To emphasize the emerging importance of large-scale genome analysis for disease gene characterization.

Main Methods:

  • Gene structure prediction algorithms.
  • Sequence comparison and database searching.
  • Sequence profile analysis for remote homology detection.

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  • Large-scale comparative genome sequence analysis.

    • Main Results:

    • Bioinformatics tools are essential for predicting gene structure and protein sequences.
    • Sequence comparison and database searches effectively predict gene function.
    • Sequence profiles enhance the detection of distant sequence relationships.
    • Comparative genome analysis is a powerful emerging method for identifying disease genes.

    Conclusions:

    • Bioinformatics is fundamental to advancing human molecular genetics research.
    • Effective methods exist for gene structure and function prediction.
    • Large-scale genomic analysis using bioinformatics is critical for future disease gene discovery.