bioInfograph
bioInfograph assembles high-resolution multi-panel scientific figures from Scalable Vector Graphics (SVG) and other image formats for presentation and publication of complex biological data.
Key Features:
- Interactive Arrangement: Provides interactive positioning and composition of high-resolution images, with explicit support for Scalable Vector Graphics (SVG).
- Multi-format Output: Exports assembled figures in PDF and HTML formats.
- Image Transparency: Supports adjustable image transparency for layered visualizations.
- Controlled Vertical Stacking: Enables precise vertical stacking and alignment of plots.
- Versatile Image Formats: Accepts Scalable Vector Graphics (SVG) and other common image formats for input.
- Rich-Text Editor Integration: Integrates rich-text editing for embedding annotations and descriptive text within figures.
- Layout Templates: Provides predefined templates for multi-panel arrangements.
- Interactive HTML Output with Zoom: Produces sharable interactive HTML output including zoom-in functionality for detailed examination.
Scientific Applications:
- Multi-panel figure assembly: Combining individual plots from diverse sources into cohesive, publication-ready multi-panel figures.
- Interactive data exploration: Delivering sharable interactive HTML figures with zoom for detailed inspection of complex biological datasets.
- Publication figure generation: Producing high-resolution figures suitable for inclusion in scientific publications.
Methodology:
Resolves stylesheet conflicts among coexisting SVG plots to enable integration of diverse visual elements.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 6/9/2022
- Last Updated:
- 6/9/2022
Operations
Publications
Li K, Hurt J, Whelan CD, Challa R, Lin D, Zhang B. BioInfograph: An Online Tool to Design and Display Multi-Panel Scientific Figure Interactively. Frontiers in Genetics. 2022;12. doi:10.3389/fgene.2021.784531. PMID:35069687. PMCID:PMC8766334.
Links
Repository
https://github.com/baohongz/bioInfograph