There are 2 repositories under kegg topic.
:bar_chart: A universal enrichment tool for interpreting omics data
Access to Biological Web Services from Python.
Data toolkits for processing NMR, MALDI MSI, MALDI single cell, Raman Spectroscopy, LC-MS and GC-MS raw data, chemoinformatics data analysis and data visualization.
An interactive radial tree for functional hierarchies and omics data visualization
KEGG Module Evaluation Tool
GeneSCF moved to a dedicated GitHub page, https://github.com/genescf/GeneSCF
A parallel API crawler for the retrieval of Kyoto Encyclopedia of Genes and Genomes metabolic and genomics data.
A Java-based software for visualizing and translating the KEGG PATHWAY database. Conversion of KGML files into BioPAX, SBML, GraphML, GML, and various other formats.
A web-based application to perform Gene Set Enrichment Analysis (GSEA) using clusterProfiler and shiny R libraries
Utilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.
A comprehensive gene set function enrichment tool for multiple species.
Library for KEGG pathway enrichment analysis
A web-based application to perform Over-Representation Analysis (ORA) using clusterProfiler and shiny R libraries
Research compendium for Viscardi et al, 2020.
GCModeller Individual Components: GCModeller base core assembly library on common biological database read and write I/O
Drawing chemical compound structures and glycan structures with capabilities to search against the KEGG databases
metabolomicsDB is a collection of three open-source command-line tools and an API. The tools create a meta-database of HMDB and ChEBI, while the API allows others to read the meta-database and use it on their own projects.
Analysis of RNA-seq data using DESeq2
A command-line interface and biochemical pathway finder based on KEGG
Converting KGML encoded KEGG pathways to the SIF file format
Create HMMs from KEGG orthologs
Companion repository to the article: "Comparative whole-genome approach to identify bacterial traits for microbial interactions"
GCModeller base core assembly library on common biological database read and write I/O