Heatmap creation software tools | Transcription data analysis
Heatmaps are one of the most commonly used representation tool for creation of complex pools of data. By coding numerical values into colors, heatmaps enable quick representation of quantitative differences in expression levels of biological data. Heatmaps are particularly useful for analysis of gene expression microarray data. Most heatmap representations are also combined with clustering methods to group genes and/or samples based on their expression patterns. Each gene is represented as a row and is color-coded to represent the intensity of its variation (either positive or negative) relative to a reference value. Biological samples are represented as columns in the grid. Here is a selection of heatmap creation software tools.