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JSONWP: a static website generator for protein bioinformatics research.

Mesih Kilinc1, Kejue Jia2, Robert L Jernigan1,2

  • 1Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA 50011, United States.

Bioinformatics Advances
|October 31, 2023
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Summary
This summary is machine-generated.

Bioinformatics researchers can now easily share findings with JSONWP, a tool that generates websites from data. This simplifies the communication of complex research results without needing a server.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Web Development

Background:

  • Communicating integrated bioinformatics research findings is challenging due to the need for sophisticated, time-consuming visualization tools.
  • Existing methods for presenting complex data can be resource-intensive and difficult to implement.

Purpose of the Study:

  • To present a novel, efficient method for communicating bioinformatics research findings.
  • To introduce JSONWP, a static web page generator tailored for protein bioinformatics.

Main Methods:

  • Developed JSONWP, a static web page generator utilizing React for dynamic user interfaces.
  • Integrated publicly available bioinformatics visualization components for standardized access.
  • Employed JSON (JavaScript Object Notation) as the input format for its data representation capabilities, allowing researchers to use any programming language.

Main Results:

  • JSONWP enables the creation of websites directly from JSON data, simplifying the visualization process.
  • The tool requires no server or domain for hosting; only a publicly accessible JSON file is needed.
  • Researchers can leverage their preferred programming languages to generate the JSON input for JSONWP.

Conclusions:

  • JSONWP offers a valuable new tool for bioinformatics researchers to effectively communicate their findings.
  • The open-source implementation facilitates adoption and contribution within the research community.
  • The tool provides a streamlined approach to data visualization and web-based dissemination of research results.