HemI

'HemI' is a flexible computational pipeline that automates gene or protein expression data visualization in heatmaps. With the development and proliferation of recent high-throughput techniques, researchers now have access to a flood of biological data in all aspects. The transformation and visualization of multi-dimensional and numerical gene or protein expression data in a single heatmap can provide a concise but comprehensive presentation of molecular dynamics under different conditions. HemI, an easy-to-use tool, was designed with this challenge in mind.
One of the primary features of HemI is the ability to customize the visualization of heatmaps. The heatmaps can be recolored, rescaled, or rotated in a customized manner, giving researchers the flexibility to manipulate their data in a way that best suits their research goals. Moreover, HemI provides multiple clustering strategies for analyzing the data, which can help researchers identify patterns and trends in their data that may be difficult to discern otherwise.
In addition to offering these customizable features, HemI is also designed to be user-friendly. The stand-alone packages of HemI are implemented in Java, which is a widely-used programming language. This means that researchers do not need to have extensive programming experience to use HemI effectively. Furthermore, HemI allows for the direct export of publication-quality figures, which saves researchers time and effort in creating visually-appealing graphics for their publications.