title: iTagPlot: an accurate computation and interactive drawing tool for tag density plot.
abstract: BACKGROUND
  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.
  
  
  METHODS
  http://sourceforge.net/projects/itagplot/.
authors: School of Computer Science and Engineering, Pusan National University, Busan, South Korea.
authors: Sung-Hwan
authors: SH
authors: Kim
authors: Hull College of Business, Georgia Regents University, Augusta, GA, USA.
authors: Onyeka
authors: O
authors: Ezenwoye
authors: School of Computer Science and Engineering, Pusan National University, Busan, South Korea.
authors: Hwan-Gue
authors: HG
authors: Cho
authors: Department of Molecular Pharmacology and Experimental Therapeutics, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
authors: Keith D
authors: KD
authors: Robertson
authors: Cancer Center and Department of Biostatistics and Epidemiology, Medical College of Georgia, Georgia Regents University, Augusta, GA, USA.
authors: Jeong-Hyeon
authors: JH
authors: Choi
mesh_terms: D002460:Cell Line; D016000:Cluster Analysis; D003196:Computer Graphics; D018899:CpG Islands; D019175:DNA Methylation; D015870:Gene Expression; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D016324:Sequence Tagged Sites; D012984:Software