Motivation Large scale studies involving exploratory data analysis and important key discoveries require platform that provides comprehensive visualization. Density distribution analysis across multiple datasets is intuitive and summarization, visualization could reveal several biological information. Integration and visualization of sequence and annotation features in the context of composition of genomic mutation, microbiota, population are significantly challenging. Results We propose a simple, novel strategy of visualization of multidimensional datasets involving multiple layers of data distribution which are interconnected. Also, we have implemented this phase diagram in an easy-to-use tool QuartPlotR, a resource for plotting charts from different genomic datasets. A generic data access and plotting framework has been designed and this is implemented as an R package. Availability https://github.com/AlagurajVeluchamy/QuartPlotR . Contact alaguraj.veluchamy@stjude.org Supplementary information Supplementary data are available at Bioinformatics online.
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Veluchamy et al. (2024) studied this question.
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