Our Interactive CHM Builder is a web-based tool for data transformation, clustering, and generation of high-quality heat maps. This is usually not a simple linear process because data transformation and clustering methods are often revisited to find the ideal match for the study, and modifications are often made to heat map visualizations to select the best colors, adjust covariates, insert gaps, etc. Generally, those tasks require the assistance of an analyst with biostatistics or bioinformatics skills who can work in R or a similar language to manipulate the study data and generate the map. Construction of a CHM requires data transformation, application of clustering methods, association of covariate (classification) data, and production of the heat map visualization. ![]() ![]() Many thousands of publications on genomics studies include clustered heat maps (CHMs) because the hierarchical clustering and intuitive visualization provide insight into the relationships among sample sub-groups and key biological processesĨ.
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