InCHlib - interactive cluster heatmap for web applications

0441263 - ÚMG 2015 RIV GB eng J - Článek v odborném periodiku
Škuta, Ctibor - Bartůněk, Petr - Svozil, Daniel
InCHlib - interactive cluster heatmap for web applications.
Journal of Cheminformatics. Roč. 6, č. 44 (2014). ISSN 1758-2946. E-ISSN 1758-2946
Grant CEP: GA MŠMT LO1220
Institucionální podpora: RVO:68378050
Klíčová slova: Data clustering * Cluster heatmap * Scientific visualization * Web integration * Client-side scripting * JavaScript library * Big data * Exploration
Kód oboru RIV: EB - Genetika a molekulární biologie
Impakt faktor: 4.547, rok: 2014

Hierarchical clustering is an exploratory data analysis method that reveals the groups (clusters) of similar objects. The result of the hierarchical clustering is a tree structure called dendrogram that shows the arrangement of individual clusters. To investigate the row/column hierarchical cluster structure of a data matrix, a visualization tool called 'cluster heatmap' is commonly employed. In the cluster heatmap, the data matrix is displayed as a heatmap, a 2-dimensional array in which the colour of each element corresponds to its value. The rows/columns of the matrix are ordered such that similar rows/columns are near each other. The ordering is given by the dendrogram which is displayed on the side of the heatmap.We developed InCHlib (Interactive Cluster Heatmap Library), a highly interactive and lightweight JavaScript library for cluster heatmap visualization and exploration. InCHlib enables the user to select individual or clustered heatmap rows, to zoom in and out of clusters or to flexibly modify heatmap appearance. The cluster heatmap can be augmented with additional metadata displayed in a different colour scale. In addition, to further enhance the visualization, the cluster heatmap can be interconnected with external data sources or analysis tools. Data clustering and the preparation of the input file for InCHlib is facilitated by the Python utility script inchlib_clust.The cluster heatmap is one of the most popular visualizations of large chemical and biomedical data sets originating, e. g., in high-throughput screening, genomics or transcriptomics experiments. The presented JavaScript library InCHlib is a client-side solution for cluster heatmap exploration. InCHlib can be easily deployed into any modern web application and configured to cooperate with external tools and data sources. Though InCHlib is primarily intended for the analysis of chemical or biological data.
Trvalý link: http://hdl.handle.net/11104/0244328