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Mason: a JavaScript web site widget for visualizing and comparing annotated features in nucleotide or protein

Daniel Jaschob1, Trisha N Davis2, Michael Riffle3,4

  • 1Department of Biochemistry, University of Washington, UW Box 357350, 1705 NE Pacific St, Seattle, WA, 98195-7350, USA. djaschob@uw.edu.

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|April 18, 2015
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Summary
This summary is machine-generated.

Mason is a web-based widget that visualizes and compares annotated biological sequence features. This flexible, JavaScript-based tool simplifies the dissemination and display of sequence data for researchers.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Sequence feature annotations are crucial for biological research and experimental design.
  • Disseminating and visualizing sequence annotation data on the web is highly valuable.
  • Existing methods may lack generalization or simplicity for web-based sharing.

Purpose of the Study:

  • To develop a generalized and simple web-based tool for visualizing and comparing annotated biological sequences.
  • To create a flexible and customizable solution for disseminating sequence annotation data.
  • To facilitate the integration of sequence visualization into existing websites.

Main Methods:

  • Developed Mason, a JavaScript and SVG-based web widget.
  • Designed for visualizing and comparing annotated features of nucleotide or protein sequences.
  • Supports multiple annotation types, overlapping regions, and customizable interfaces.

Main Results:

  • Mason effectively visualizes and compares annotated sequence features, including DNA and protein data.
  • The widget is simple to use, easily integrated into websites, and requires no third-party plugins.
  • Offers dynamic and configurable features like multiple annotation sets and user-driven events.

Conclusions:

  • Mason provides a flexible, customizable, and user-friendly solution for web-based sequence annotation dissemination.
  • The open-source tool enhances the accessibility and utility of biological sequence data.
  • Mason is freely available, promoting wider adoption in the research community.