Cargando…
ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612400/ https://www.ncbi.nlm.nih.gov/pubmed/37846038 http://dx.doi.org/10.1093/bioinformatics/btad622 |
_version_ | 1785128696255873024 |
---|---|
author | Sato, Noriaki Uematsu, Miho Fujimoto, Kosuke Uematsu, Satoshi Imoto, Seiya |
author_facet | Sato, Noriaki Uematsu, Miho Fujimoto, Kosuke Uematsu, Satoshi Imoto, Seiya |
author_sort | Sato, Noriaki |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10612400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106124002023-10-29 ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics Sato, Noriaki Uematsu, Miho Fujimoto, Kosuke Uematsu, Satoshi Imoto, Seiya Bioinformatics Applications Note 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. Oxford University Press 2023-10-16 /pmc/articles/PMC10612400/ /pubmed/37846038 http://dx.doi.org/10.1093/bioinformatics/btad622 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Sato, Noriaki Uematsu, Miho Fujimoto, Kosuke Uematsu, Satoshi Imoto, Seiya ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics |
title |
ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics |
title_full |
ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics |
title_fullStr |
ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics |
title_full_unstemmed |
ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics |
title_short |
ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics |
title_sort | ggkegg: analysis and visualization of kegg data utilizing the grammar of graphics |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612400/ https://www.ncbi.nlm.nih.gov/pubmed/37846038 http://dx.doi.org/10.1093/bioinformatics/btad622 |
work_keys_str_mv | AT satonoriaki ggkegganalysisandvisualizationofkeggdatautilizingthegrammarofgraphics AT uematsumiho ggkegganalysisandvisualizationofkeggdatautilizingthegrammarofgraphics AT fujimotokosuke ggkegganalysisandvisualizationofkeggdatautilizingthegrammarofgraphics AT uematsusatoshi ggkegganalysisandvisualizationofkeggdatautilizingthegrammarofgraphics AT imotoseiya ggkegganalysisandvisualizationofkeggdatautilizingthegrammarofgraphics |