bio-pathway-kegg-pathways

To perform KEGG pathway enrichment, provide a gene list with compatible identifiers like Entrez IDs and specify the organism code. The analysis applies clusterProfiler's enrichKEGG function across species using KEGG's online database to identify overrepresented biological pathways.

KEGG pathway enrichment identifies affected biological processes using enrichKEGG, while module enrichment uses enrichMKEGG for module-level analysis. Both leverage clusterProfiler to reveal overrepresented pathways from gene lists, providing robust and reproducible results for downstream omics data interpretation.

Yes, you need internet access for KEGG queries because the analysis leverages KEGG's online database. You also need to ensure gene identifiers are compatible, such as converting them to Entrez IDs, and you must specify the correct organism code for accurate enrichment results.

Yes, you can compare pathways across conditions by running KEGG pathway enrichment on gene lists from different states. The analysis uses clusterProfiler to generate interpretable tables and visualizations, helping you identify and contrast overrepresented biological pathways in your omics workflows.

The best way to analyze RNA-seq DE genes is using enrichKEGG and enrichMKEGG from clusterProfiler. Ensure your gene identifiers are compatible Entrez IDs, specify your organism code, and the analysis will identify overrepresented KEGG pathways and modules with ready-to-interpret results.

KEGG enrichment fails when gene identifiers are incompatible or the organism code is incorrect. Ensure your gene list uses Entrez IDs, verify the species code matches KEGG's database, and confirm internet access is available, as the analysis queries KEGG's online database.