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Organization of data within OTUbase. Data analysis starts by either clustering or classifying the reads obtained from the sequencer with an extermal application. The clustering or classification results are collected by OTUbase along with read and quality data and sample metadata. OTUbase then organizes the data into an R object. The library of R tools can then be used to analyze and visualize the data.
