Treffer: ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity.
Title:
ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity.
Authors:
Peng Y; Department of Urology, Peking University People's hospital, Beijing, 100044, China.; Department of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, 410013, China., Jiang S; Department of Urology, Peking University People's hospital, Beijing, 100044, China., Song Y; Department of Urology, Peking University People's hospital, Beijing, 100044, China., Luo P; Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China., Li J; State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China., Hu D; Department of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, 410013, China., Zhou JG; Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, 563006, China., Yu G; Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China., Xu T; Department of Urology, Peking University People's hospital, Beijing, 100044, China., Wang S; Department of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, 410013, China.
Source:
Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2025 Nov; Vol. 12 (44), pp. e07799. Date of Electronic Publication: 2025 Sep 15.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE
Imprint Name(s):
Original Publication: Weinheim : WILEY-VCH, [2014]-
MeSH Terms:
References:
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Innovation (Camb). 2025 May 22;6(9):100958. (PMID: 40979292)
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Grant Information:
82303953 National Natural Science Foundation of China; 81802533 National Natural Science Foundation of China; 82472912 National Natural Science Foundation of China; 32270677 National Natural Science Foundation of China; 82504050 National Natural Science Foundation of China; 2025JJ40079 Hunan Provincial Natural Science Foundation of China; 2024ZD0525700 Noncommunicable Chronic Diseases-National Science and Technology Major Project; 2023ZD0502105 Noncommunicable Chronic Diseases-National Science and Technology Major Project; 2022-4-4087 Capital's Funds for Health Improvement and Research of China; 2018YFA0902802 National Key Research and Development Program of China; Z191100006619010 Beijing Municipal Science & Technology Commission; 24YJCZH462 Ministry of Education in China Liberal Arts and Social Sciences Foundation; QJJ-2024-333 Youth Science and Technology Elite Talent Project of Guizhou Provincial Department of Education; ZunshiKeheHZ(2023)142 Excellent Young Talent Cultivation Project of Zunyi City; ZYSE2023-02 Future Science and Technology Elite Talent Cultivation Project of Zunyi Medical University; 7 Key Program of the Education Sciences Planning of Guizhou Province; Central South University Startup Funding
Contributed Indexing:
Keywords: composable visualization; data visualization; ggalign; grammar of graphics; omics
Entry Date(s):
Date Created: 20250915 Date Completed: 20251127 Latest Revision: 20251203
Update Code:
20251203
PubMed Central ID:
PMC12667486
DOI:
10.1002/advs.202507799
PMID:
40948029
Database:
MEDLINE
Weitere Informationen
Data visualization is essential for exploring and communicating complex biological datasets. As omics data grow in scale and complexity, there is an increasing demand for visualization tools that are both flexible and extensible. We present ggalign, an R package that extends the ggplot2 ecosystem by introducing an integrative framework for composable visualization. Designed to overcome limitations of existing tools, ggalign supports modular, data-aware layouts-including circular, stacked, and quadrant-based configurations-and enables the representation of diverse data relationships, such as one-to-many and many-to-one connections. Its ability to reorder and group observations using data-driven or domain-specific criteria enhances the interpretability of high-dimensional datasets. Moreover, ggalign introduces a novel linking mechanism for visualizing interconnections across heterogeneous data types, as demonstrated in genomic and microbiome case studies. Together, these features position ggalign as a versatile and reproducible solution for multi-omics research, supporting both exploratory data analysis and publication-ready presentation.
(© 2025 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)