What is Pathway Analysis? How to Conduct Pathway Analysis

Pathway analysis, also known as pathway enrichment analysis, is an analysis method that identifies pathways significantly overrepresented in a given gene list compared to the entire set of genes.

It is commonly utilized to identify the pathways that differentially expressed genes from RNA-Seq analysis results are strongly involved in.

What is Pathway?

A pathway represents the interactions among genes, proteins, and compounds. It includes information on metabolic pathways, signaling cascades, protein-protein interactions, and gene regulatory networks.

Well-known databases for pathway include Kyoto Encyclopedia of Genes and Genomes(KEGG) and WikiPathways. KEGG is freely available to academic researchers, but corporate users are required to obtain a license. On the other hand, WikiPathways is created by the community and is freely accessible to anyone.

Example of a Pathway(WikiPathways)

パスウェイの例

What is Pathway Analysis?

Pathway analysis identifies pathways that are significantly overrepresented in a specific gene set compared to the background gene set.

Suppose that an RNA-Seq analysis reveals 600 differentially expressed genes, of which 30 out of 600 are associated with the pathway "Cytoplasmic ribosomal proteins", and in a background gene set of 5598 genes, 87 out of 5598 are associated with "Cytoplasmic ribosomal proteins". In this case, the pathway "Cytoplasmic ribosomal proteins" would be considered significantly overrepresented compared to its expected frequency of a random sampling of 600 genes from the background set.

RNA-Seq Data Analysis Software

With our RNA-Seq data analysis software, you won't need to outsource or rely on collaborators. You can start analyzing the data yourself right away, without the need for high-spec computers or knowledge of Linux commands.

概要

Users can perform gene expression quantification, identification of differentially expressed genes, gene ontology(GO) analysis, pathway analysis, as well as drawing volcano plots, MA plots, and heatmaps.