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