Presenting RNA-Seq data using ComplexHeatmap
A heatmap plot is a graphical representation of data where values are represented by colors, typically with a color scale. In bioinformatics, heatmap plots are often used to visualize large datasets and identify patterns in genomics data, such as variations in gene expression or mutation rates. They can be used to display data from a wide range of sources, such as microarray, RNA-Seq, and ChIP-Seq. Heatmap plots are particularly useful for visualizing data in large matrices, such as gene expression data, where the rows represent the genes and the columns represent the samples.
When creating heatmap plots, it is important to use accessible color schemes that can be easily interpreted by a wide range of users. This includes using a color scale that is easily distinguished by individuals with color vision deficiencies and using a consistent color scheme across different plots. Using a legend to indicate the values represented by different...
