How to Interpret Tables of GO, KEGG, and COG Analysis in Bioinformatics

GO (Gene Ontology) Analysis

1. Bar Chart

(1) Y-axis: Displays GO terms, with only the most significant ones shown if the list is extensive.

(2) X-axis: Represents either -log(p-value) or the number of associated genes. A higher -log(p-value) indicates stronger statistical significance.

 

2. Bubble Chart

(1) X-axis: Represents -log(p-value), where a larger value corresponds to stronger statistical significance.

(2) Y-axis: Indicates the number of genes associated with each GO term.

(3) Bubble size: Reflects the number or proportion of genes linked to a specific term.

(4) Bubble color: Represents significance levels; for example, deep red typically denotes a lower p-value.

 

3. Table

(1) Term: Name of the GO term.

(2) GO ID: Unique identifier for the GO term.

(3) p-value: Measures the statistical significance of term enrichment. Adjusted p-values (e.g., FDR, Bonferroni correction) are often provided.

(4) Gene count: Number of genes in the dataset associated with this GO term.

(5) Percentage (%): Proportion of genes in the dataset linked to this GO term.

 

KEGG Pathway Analysis

1. Pathway Diagram

(1) Nodes: Represent genes or proteins, typically color-coded based on their presence in the dataset.

(2) Edges: Indicate molecular interactions or functional relationships between pathway components.

(3) Coloring scheme: Highlights genes from the dataset, facilitating the identification of key players within the pathway.

 

2. Table

(1) Pathway: Name of the KEGG pathway.

(2) Pathway ID: Unique identifier for the pathway.

(3) p-value: Indicates the statistical significance of pathway enrichment.

(4) Gene count: Number of genes in the dataset associated with this pathway.

(5) Percentage (%): Proportion of genes in the dataset linked to this pathway.

 

COG (Clusters of Orthologous Groups) Analysis

1. Bar Char

(1) Y-axis: Represents functional COG categories.

(2) X-axis: Displays the number of genes assigned to each category, reflecting functional distribution within the dataset.

 

2. Pie Chart (if applicable)

(1) Sectors: Represent different COG categories.

(2) Sector size: Proportional to the number of genes in each category.

 

3. Table

(1) COG Category: Functional category represented by a letter code.

(2) Description: Full explanation of the functional category.

(3) Gene count: Number of genes associated with the given COG category.

(4) Percentage (%): Proportion of genes in the dataset linked to this category.

 

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