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ABSTRACT: Motivation
Tag density plots are very important to intuitively reveal biological phenomena from capture-based sequencing data by visualizing the normalized read depth in a region.Results
We have developed iTagPlot to compute tag density across functional features in parallel using multicores and a grid engine and to interactively explore it in a graphical user interface. It allows us to stratify features by defining groups based on biological function and measurement, summary statistics and unsupervised clustering.Availability and implementation
http://sourceforge.net/projects/itagplot/.
SUBMITTER: Kim SH
PROVIDER: S-EPMC4495303 | biostudies-literature | 2015 Jul
REPOSITORIES: biostudies-literature