Heatmap Online Inquiry

Introduction of Heatmap

Heatmap. Heatmap is a graph that displays a matrix of data with color changes. It is often used for statistics in different fields. Toussaint Loua used heatmap in 1873 to draw sociological statistics of the districts of Paris. In biology, heatmaps are often used to display the expression levels of multiple genes in different samples, and the unique patterns between different groups such as disease groups and control groups can be viewed through clustering and other methods. Heatmap can also be used to display the abundance of other substances, such as the relative abundance of microorganisms, the content of different substances in the metabolite and so on. In addition, another important use of heatmap is to show the correlation between different indicators and different samples.

There are many software that can be used to make heatmaps. In the process of biological information analysis, the commonly used method is the heat map function package in R, and the commonly used function packages include ggplot2, gplots, pheatmap, etc.

Heatmap of beta cell markers genes in beta cells from Fluidigm 800HT platforms. Fig 1. Heatmap of beta cell markers genes in beta cells from Fluidigm 800HT platforms. (Wang Y J , Kaestner K H . 2019)

Application Field

The following are some application scenarios of the heatmap:

In RNA-seq data analysis, heat maps can visually present the global expression changes of multiple samples and multiple genes, as well as the clustering relationship of multiple samples or multiple gene expression.

Visualize the relative abundance of microorganisms.

Visualize the content of different substances.

Show the correlation between different indicators, different samples.

Heatmap is a very common visualization result map in biological data analysis. By using heatmap to visualize the data, the readability of the data is greatly increased. If you have a background in bioinformatics data analysis, you can easily master heatmap mapping skills. But if you do not have the relevant skills, but want to show your data results through heatmap, you can contact us at any time. CD Genomics has a professional biological information analysis team. You only need to provide the original data and the data content you want to present through the heatmap, and we will accurately present the data results for you through the heatmap. Hope we have the honor to cooperate!


  1. Wang Y J , Kaestner K H . Single-Cell RNA-Seq of the Pancreatic Islets––a Promise Not yet Fulfilled?[J]. Cell Metabolism, 2019, 29(3):539-544.
* For Research Use Only. Not for use in diagnostic procedures.
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