Motivation: The majority of data generated routinely from various experiments are essentially multivariate, often categorized with multiple experimental metadata. Analyzing such results with interactive visualizations often yields interesting and intuitive results which otherwise remains undisclosed. Results: In this paper, we present Web-Igloo-a GUI based interactive 'feature decomposition independent' multivariate data visualization platform. Web-Igloo is likely to be a valuable contribution in the field of visual data mining, especially for researchers working with but not limited to multi-omics data. To demonstrate its utility, we have used a metagenomic dataset pertaining to the effect of multiple doses of antibiotic treatment on the human gut microbiome.
CITATION STYLE
Kuntal, B. K., & Mande, S. S. (2017). Web-igloo: A web based platform for multivariate data visualization. Bioinformatics, 33(4), 615–617. https://doi.org/10.1093/bioinformatics/btw669
Mendeley helps you to discover research relevant for your work.