Figure 2

The InCHlib deployment pipeline. It consists of three steps: data preparation, clustering and rendering. In the data preparation step, the data matrix consisting of data points and their IDs in rows and their features in columns is stored in the text file. Similarly, metadata are saved in a separate text file. In the clustering step, these files are supplied to the software that performs hierarchical clustering and stores the results in the InCHlib input file. Though any clustering software can be used, a utility script inchlib_clust that uses fastcluster library for clustering and outputs data directly in the InCHlib format was developed. In the third step, the InCHlib input file is read in by InCHlib which renders the cluster heatmap visualization.