BioVisReport

BioVisReport generates interactive websites from Markdown input to provide reproducible visualization and exploratory analysis of biomedical data.


Key Features:

  • Markdown input: Uses a Markdown file as the core input format for structured content and site generation.
  • Interactive website generation: Produces interactive websites that enable reproduction of reported results and further exploratory analyses of biomedical studies.
  • Visualization types: Supports 17 basic plot types for visualizing diverse biomedical datasets.
  • Extensibility: Allows integration of user-developed Python plugins and supports customization with multiple programming languages.

Scientific Applications:

  • Reproducibility: Facilitates reproducible presentation of analyses and figures reported in biomedical publications.
  • Exploratory analysis: Enables readers to perform additional exploratory analyses beyond those reported in original studies to generate new hypotheses.
  • Result validation and dissemination: Supports validation of results by peers and dissemination of interactive data presentations for collaborative scientific dialogue.

Methodology:

Operates from a Markdown-based input system to render interactive websites, implements 17 basic plot types for visualization, and supports integration of user-developed Python plugins.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
9/26/2022
Last Updated:
11/24/2024

Operations

Publications

Yang J, Liu Y, Shang J, Huang Y, Yu Y, Li Z, Shi L, Ran Z. BioVisReport: A Markdown-based lightweight website builder for reproducible and interactive visualization of results from peer-reviewed publications. Computational and Structural Biotechnology Journal. 2022;20:3133-3139. doi:10.1016/j.csbj.2022.06.009. PMID:35782729. PMCID:PMC9233186.

PMID: 35782729
PMCID: PMC9233186
Funding: - Key Technologies Research and Development Program: 2018YFE0201603 - Higher Education Discipline Innovation Project: B13016 - Science and Technology Commission of Shanghai Municipality: 2017SHZDZX01 - National Natural Science Foundation of China: 31720103909, 32170657

Documentation