bioRxivBioinformaticsPreprint
PlotGDP: an AI Agent for Bioinformatics Plotting
Xiaotong Luo, Ying Shi, Hao HuangiD, Hongge WangiD, Wenyi Cao, Zhixiang ZuoiD, Qi Zhao, Yueyuan ZhengiD, Yubin XieiD, Shuai Jiang, Jian Ming Ren
Abstract
High-quality bioinformatics plotting is important for biology research, especially when preparing for publications. However, the long learning curve and complex coding environment configuration often appear as inevitable costs towards the creation of publication-ready plots. Here, we present PlotGDP (https://plotgdp.biogdp.com/), an AI agent-based web server for bioinformatics plotting. Built on large language models (LLMs), the intelligent plotting agent is designed to accommodate various types of bioinformatics plots, while offering easy usage with simple natural language commands from users. No coding experience or environment deployment is required, since all the user-uploaded data is processed by LLM-generated codes on our remote high-performance server. Additionally, all plotting sessions are based on curated template scripts to minimize the risk of hallucinations from the LLM. Aided by PlotGDP, we hope to contribute to the global biology research community by constructing an online platform for fast and high-quality bioinformatics visualization. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/702995v3_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@73c77dorg.highwire.dtl.DTLVardef@12ddfc6org.highwire.dtl.DTLVardef@be5963org.highwire.dtl.DTLVardef@de90b6_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstract.C_FLOATNO PlotGDP: an AI Agent for Bioinformatics Plotting C_FIG
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- figureComposer: A web-based interactive multi-panel bio- infographic designing tool
Kejie Li, Jessica A. Hurt, … Baohong Zhang·bioRxiv·Mar 4, 2020
- bioq: a unified, agent-native command-line interface to a fleet of AI drug-discovery methods
Zhiheng Liu, Yinan Wang·bioRxiv·Sep 8, 2026
- BioGAIP: A Scalable, User-Friendly and Robust LLM-Powered Multi-Agent System for Automated Bioinformatics Tasks
Jiayu Zhang, Pengfei Guo, … Ting Ni·bioRxiv·May 19, 2026
- Tidyplots empowers life scientists with easy code-based data visualization
Jan Broder Engler·iMetaPeer-reviewed·Mar 19, 2025
- Bioinformatics Illustrations Decoded by ChatGPT: The Good, The Bad, and The Ugly
Jinge Wang, Qing Ye, … Gangqing Hu·bioRxiv·Oct 15, 2023
- PromptBio: A Multi-Agent AI Platform for Bioinformatics Data Analysis
Minzhe Zhang, Wenhao Gu, … Xiao Yang·bioRxiv·Jul 5, 2025