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Related Experiment Videos

A hypertext-like approach to navigating through the GCG sequence analysis package

B K Kiong1, T W Tan

  • 1Department of Information Systems and Computer Science, National University of Singapore, Kent Ridge.

Computer Applications in the Biosciences : CABIOS
|April 1, 1993
PubMed
Summary
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A new navigation system, HYGCG, simplifies access to the Genetics Computing Group (GCG) sequence analysis tools on Unix. This user-friendly interface enhances usability, especially for new or infrequent users of bioinformatics software.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genetics

Background:

  • The Genetics Computing Group (GCG) offers a suite of powerful sequence analysis programs.
  • Accessing these tools on the Unix operating system can be challenging for inexperienced users.
  • A need exists for a more intuitive interface to GCG programs.

Purpose of the Study:

  • To develop a user-friendly navigation system for the Unix version of the GCG sequence analysis package.
  • To improve accessibility and ease of use for both GCG programs and common Unix commands.
  • To provide context-sensitive online help and customization options.

Main Methods:

  • Developed HYGCG, a hypertext-like navigation system using the C language.
  • Integrated common Unix commands into the HYGCG interface.

Related Experiment Videos

  • Ensured portability across Unix environments using curses and termcap libraries.
  • Made the system freely available via anonymous FTP.

    • Main Results:

    • HYGCG organizes GCG programs into logical groups with command explanations.
    • Provides an intuitive interface for users unfamiliar with Unix.
    • Offers options for personal customization and expansion.
    • Delivers context-sensitive online help.

    Conclusions:

    • HYGCG significantly enhances the usability of the GCG sequence analysis package on Unix.
    • The system is particularly beneficial for inexperienced or infrequent users.
    • HYGCG is easily portable and freely available, promoting wider adoption in bioinformatics research.