To create a custom heatmap, simply select the relevant datasets or input your own data into the tool. You can choose from a wide range of available data sources, including genomic, phenotypic, and transcriptomic data from soybean research. This diverse collection of data ensures you have access to comprehensive information for analysis.

Once you have selected the datasets, you can customize various parameters to refine the heatmap visualization. Adjusting color schemes, scaling options, and clustering algorithms enables you to highlight specific features or patterns within the data. Additionally, the tool provides interactive functionalities such as zooming and panning to explore the heatmap in detail.