ITagPlot: An accurate computation and interactive drawing tool for tag density plot

Sung Hwan Kim, Onyeka Ezenwoye, Hwan Gue Cho, Keith D. Robertson, Jeong-Hyeon Choi

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)2384-2387
Number of pages4
JournalBioinformatics
Volume31
Issue number14
DOIs
Publication statusPublished - Jan 1 2015

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ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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