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ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics.

Authors :
Sato, Noriaki
Uematsu, Miho
Fujimoto, Kosuke
Uematsu, Satoshi
Imoto, Seiya
Source :
Bioinformatics. Oct2023, Vol. 39 Issue 10, p1-5. 5p.
Publication Year :
2023

Abstract

Summary The Kyoto Encyclopedia of Genes and Genomes (KEGG) database serves as a valuable systems biology resource and is widely utilized in diverse research fields. However, existing software does not allow flexible visualization and network analyses of the vast and complex KEGG data. We developed ggkegg , an R package that integrates KEGG information with ggplot2 and ggraph. ggkegg enables enhanced visualization and network analyses of KEGG data. We demonstrate the utility of the package by providing examples of its application in single-cell, bulk transcriptome, and microbiome analyses. ggkegg may empower researchers to analyze complex biological networks and present their results effectively. Availability and implementation The package and user documentation are available at: https://github.com/noriakis/ggkegg. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
39
Issue :
10
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
173339220
Full Text :
https://doi.org/10.1093/bioinformatics/btad622