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Mapping Absolute DNA Density in Cell Nuclei using Single-molecule Localization Microscopy
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iTagPlot: an accurate computation and interactive drawing tool for tag density plot.

Sung-Hwan Kim1, Onyeka Ezenwoye2, Hwan-Gue Cho1

  • 1School of Computer Science and Engineering, Pusan National University, Busan, South Korea.

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Summary
This summary is machine-generated.

iTagPlot visualizes sequencing data tag density for biological insights. This tool enables parallel computation and interactive exploration, aiding in feature stratification and analysis.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Tag density plots are crucial for interpreting capture-based sequencing data.
  • Visualizing normalized read depth reveals biological phenomena.

Purpose of the Study:

  • To develop an efficient tool for tag density computation and visualization.
  • To enable interactive exploration and stratification of sequencing data features.

Main Methods:

  • Developed iTagPlot software.
  • Utilized multicores and grid engine for parallel computation.
  • Implemented a graphical user interface for interactive exploration.

Main Results:

  • iTagPlot computes tag density across functional features efficiently.
  • The tool allows stratification of features by biological function, measurement, and clustering.
  • Interactive exploration of tag density data is facilitated.

Conclusions:

  • iTagPlot enhances the analysis of capture-based sequencing data.
  • The software provides a powerful platform for biological discovery through data visualization.