The abundance heatmap with sample clustering is a quick way to help identify patterns of functional profiling among samples. Heatmaps with or without sample clustering can be found by clicking the links below the figure.
The following heatmap shows top 75 most abundant gene families detected in all the samples. Each row represents the abundance for each gene family along with the species information, with the gene family ID shown on the right. Each column represents the abundance for each sample, with the sample ID shown at the bottom. If available, group information is indicated by the colored bar located on the top of each column. Hierarchical clustering was performed on samples based on Bray-Curtis dissimilarity. Hierarchical clustering was also performed on the gene families so that gene families with similar distributions are grouped together.
Heatmaps with Sample Clustering: Subgroup1
Heatmaps without Sample Clustering: Subgroup1
The following heatmap shows top 75 most abundant functional pathways detected in all the samples. Each row represents the abundance for each pathway, with the pathway ID shown on the right. Each column represents the abundance for each sample, with the sample ID shown at the bottom. If available, group information is indicated by the colored bar located on the top of each column. Hierarchical clustering was performed on samples based on Bray-Curtis dissimilarity. Hierarchical clustering was also performed on the pathways so that pathways with similar distributions are grouped together.
Heatmaps with Sample Clustering: Subgroup1
Heatmaps without Sample Clustering: Subgroup1
The following heatmap shows top 75 most abundant functional pathways detected (with species information) in all the samples. Each row represents the abundance for each pathway, with the pathway ID shown on the right. Each column represents the abundance for each sample, with the sample ID shown at the bottom. If available, group information is indicated by the colored bar located on the top of each column. Hierarchical clustering was performed on samples based on Bray-Curtis dissimilarity. Hierarchical clustering was also performed on the pathways so that pathways with similar distributions are grouped together.
Heatmaps with Sample Clustering: Subgroup1
Heatmaps without Sample Clustering: Subgroup1