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BioViews: Java-based tools for genomic data visualization

G A Helt1, S Lewis, A E Loraine

  • 1Berkeley Drosophila Genome Project (BDGP), Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720-3200, USA.

Genome Research
|May 16, 1998
PubMed
Summary
This summary is machine-generated.

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BioViews is a Java-based genome browser applet offering interactive visualization of genomic data across physical maps, annotated sequences, and DNA sequences. This tool provides universal access to current biological data and analysis results.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Effective bioinformatics tools require universal access to current data via interactive graphical interfaces.
  • Java technology enables the development of web-based genomic data visualization tools.

Purpose of the Study:

  • To develop a prototype genome browser applet (BioViews) using Java.
  • To create an interactive, multi-level visualization tool for genomic data.

Main Methods:

  • Developed a Java applet (BioViews) with three interconnected graphical views: physical map, annotated sequence map, and DNA sequence display.
  • Integrated database connectivity for retrieving features and displaying hyperlinked textual data.
  • Built upon extensible and reusable graphic components for bioinformatics.

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Main Results:

  • BioViews provides a three-level graphical view of genomic data, linking physical maps, annotated sequences, and DNA sequences.
  • The applet allows interactive data browsing, feature retrieval, and display of hyperlinked annotations.
  • Analysis results can be interactively visualized alongside existing annotations.

Conclusions:

  • BioViews offers a reusable and extensible platform for genomic data visualization and analysis.
  • The tool facilitates data sharing and integration for genome centers, sequence analysis groups, and biology labs.
  • This genome browser enhances the accessibility and interactivity of complex genomic information.