HemI: A Toolkit for Illustrating Heatmaps

By Wankun Deng, Yongbo Wang, Zexian Liu, Han-Chin Cheng, Yu Xue. 2014

904 citations recorded by the source corpus.

Recent high-throughput techniques have generated 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. In this work, we developed an easy-to-use tool named HemI (Heat map Illustrator), which can visualize either gene or protein expression data in heatmaps. Additionally, the heatmaps can be recolored, rescaled or rotated in a customized manner. In addition, HemI provides multiple clustering strategies for analyzing the data. Publication-quality figures can be exported directly. We propose that HemI can be a useful toolkit for conveniently visualizing and manipulating heatmaps. The stand-alone packages of HemI were implemented in Java and can be accessed at http://hemi.biocuckoo.org/down.php.

Subfields: Molecular Biology

Citations in the corpus

• The Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicity (2020, neutral): “The ratio of EC50 between the variant or mutant strains and the reference strain (Wuhan-1) was calculated and analyzed to generate heatmap using Hem I (Deng et al., 2014).”