Tidyplots empowers life scientists with easy code‐based data visualization
Code-based data visualization is a crucial tool for understanding and communicating experimental findings while ensuring scalability and reproducibility. However, complex programming interfaces pose a significant barrier for life scientists. To address this challenge, tidyplots provides a user-friendly code-based interface for creating customizable and insightful plots. With its consistent and intuitive syntax, tidyplots empowers researchers to leverage automated data visualization pipelines while minimizing required programming skills.
Authors
- Jan Broder Engler (ORCID: https://orcid.org/0000-0002-3169-2076)
Institutions
- University Medical Center Hamburg-Eppendorf (DE)
- Klinik und Poliklinik für Neurologie (DE)
Publication Details
- Journal
- iMeta
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1002/imt2.70018
- Citations
- 29
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 23.37