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Related Experiment Videos

The genetic data environment an expandable GUI for multiple sequence analysis

S W Smith1, R Overbeek, C R Woese

  • 1Millipore BioImage, Ann Arbor, MI, USA.

Computer Applications in the Biosciences : CABIOS
|December 1, 1994
PubMed
Summary
This summary is machine-generated.

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A new graphic user interface integrates biomolecular programs for seamless analysis. This expandable system allows biologists to combine diverse expertise in one environment.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Software Engineering

Background:

  • Biomolecular data analysis often requires integrating multiple specialized software tools.
  • Lack of a unified environment can hinder efficient data processing and interdisciplinary research.

Purpose of the Study:

  • To present an X-Windows-based graphic user interface (GUI) for integrating diverse biomolecular analysis programs.
  • To create a flexible and expandable platform for computational biology workflows.

Main Methods:

  • Development of a core multiple sequence editor as the central analysis hub.
  • Implementation of a user-expandable menu system for linking external biomolecular programs.
  • Support for Sun and DEC workstations, with limitations based on virtual memory size.

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Main Results:

  • A seamless analysis environment integrating numerous existing biomolecular programs.
  • Unlimited extensibility for linking external functions and handling large sequence datasets.
  • Sequence data serves as the reference point for analysis with scalable graphic views.

Conclusions:

  • The developed GUI provides a unified platform for biomolecular data analysis.
  • The expandable menu system and I/O linkage facilitate the integration of expertise from disparate fields.
  • Future software development can leverage this architecture for enhanced interdisciplinary biological research.