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The analysis and interpretation of high-dimensional biological data sets is a challenging task. Exploratory data analysis of count data produced by next-generation sequencing technologies presents a common hurdle to researchers. Biologists often find it difficult to get started with the analysis process, which can be time consuming and researchers are guided through the iterative steps of data assessment, processing, and analysis in a visual environment. The freeCount analysis framework takes advantage of the reactive features of R Shiny to deliver a set of modular and interactive tools and tutorials for the structured analysis and visualization of count data.more » « less
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