ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics.
Where this comes from
- Record sourced from PubMed, PMID 37846038.
- Also identified by DOI 10.1093/bioinformatics/btad622 and PMC identifier 10612400.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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. The package and user documentation are available at: https://github.com/noriakis/ggkegg.
Medical subject headings
- Genome
- Software