KEGGCharter

KEGGCharter visualizes genomic potential and transcriptomic expression by mapping omics data onto KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways to support interpretation of metabolic and functional profiles.


Key Features:

  • Pathway Visualization: Maps differential gene expression and genomic potential onto KEGG metabolic pathways for contextualized visualization of metabolic functions.
  • Taxonomic Assignment: Displays taxonomic assignment of enzymes within pathways to attribute functional contributions to specific taxa in metagenomic contexts.
  • Integration with Other Tools: Integrates functional annotation and characterization results from UPIMAPI and reCOGnizer to combine annotations with pathway mapping.
  • Large-scale Omics Data Handling: Supports analysis of large datasets typical of metagenomics, metatranscriptomics, and metaproteomics experiments.

Scientific Applications:

  • Microbial Ecology: Enables exploration of functional potential and species-level contributions within microbial communities by mapping gene content and expression onto KEGG pathways.
  • Biotechnology: Assists metabolic engineering and industrial microbiology by visualizing pathway-level effects of gene expression and genomic potential.
  • Systems Biology: Supports interpretation of pathway-scale gene expression changes for studying system responses to environmental or genetic perturbations.

Methodology:

Maps differential gene expression and genomic potential onto KEGG pathways, displays taxonomic assignment of pathway enzymes, and integrates functional annotations and outputs from UPIMAPI and reCOGnizer for analysis of metagenomics, metatranscriptomics, and metaproteomics datasets.

Topics

Details

License:
BSD-3-Clause
Maturity:
Emerging
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux
Programming Languages:
Python
Added:
4/27/2021
Last Updated:
11/24/2024

Operations

Publications

Sequeira JC, Rocha M, Alves MM, Salvador AF. UPIMAPI, reCOGnizer and KEGGCharter: Bioinformatics tools for functional annotation and visualization of (meta)-omics datasets. Computational and Structural Biotechnology Journal. 2022;20:1798-1810. doi:10.1016/j.csbj.2022.03.042. PMID:35495109. PMCID:PMC9034014.

PMID: 35495109
PMCID: PMC9034014
Funding: - Fundação para a Ciência e a Tecnologia: SFRH/BD/147271/2019, UIDB/04469/2020 - Horizon 2020: 952908

Documentation

Downloads

Links