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.

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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
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article

Tidyplots empowers life scientists with easy code‐based data visualization

Jan Broder Engler
29 citations
iMeta
Genomics and Phylogenetic Studies
23.37
article

Tidyplots empowers life scientists with easy code‐based data visualization

Jan Broder Engler
article en
29 citations

Abstract

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.

iMetaVol. 4(2)
University Medical Center Hamburg-Eppendorf (DE), Klinik und Poliklinik für Neurologie (DE)
Responsible consumption and production
Openalex Percentile: Top 0%
Genomics and Phylogenetic Studies
23.37
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