A curated list of web-based interactive visualization tools for exploring biological data across genomics, transcriptomics, and other omics fields.
Awesome Biological Visualizations is a curated directory of web-based interactive tools for visualizing biological data. It helps scientists and researchers discover scattered visualization resources for exploring genomics, transcriptomics, proteomics, and other omics data in the context of health, disease, and model organisms. The project centralizes tools from GitHub, Twitter, and scientific papers into a single accessible list.
Bioinformaticians, computational biologists, and life science researchers who need to visualize and explore complex biological datasets interactively.
It saves time by aggregating hard-to-find visualization tools in one place, covers a wide range of biological domains, and is maintained as a community-driven resource to stay up-to-date with new tools.
A list of web-based interactive biological data visualizations.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
The README organizes tools by domains like cancer, genomics, proteomics, and metabolomics, offering a one-stop resource for diverse biological data types from single-cell to population levels.
Aggregates tools from reputable sources like scientific papers and GitHub, ensuring entries are vetted and relevant for research, as highlighted in the project's philosophy of reducing discovery time.
Specifically targets web-based tools that allow dynamic exploration, such as HiGlass for Hi-C data or cellxgene for single-cell transcriptomics, enabling analysis without local installation.
Maintained as an open-source 'awesome list' on GitHub, encouraging contributions to keep the directory current with new tools, as indicated by its curated and evolving nature.
The project is merely a directory; users must navigate to external sites, and there's no guarantee of tool availability, performance, or compatibility, leaving gaps in seamless workflow integration.
As a community-maintained list, some tools may become deprecated or links may break over time, requiring regular updates that aren't always guaranteed, risking access to resources.
Entries often have only brief descriptions, lacking detailed comparisons, tutorials, or user reviews, which could help researchers select the most suitable tool for their specific needs.