Year: 2015
Type: article
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/. Contact: [email protected] and [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
Source: Bioinformatics
Institutions: Pusan National University, Augusta University, Mayo Clinic
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: bronze
Awards: A GENOME-WIDE METHYLATION STUDY ON ESSENTIAL HYPERTENSION, G2683966795, Developmental pathways, environmental agents, and epigenetics in liver disease, Epigenetic regulation of T-cell dysfunction in chronic lymphocytic leukemia, G366635520, RNA epigenetic regulation of cancer metabolism, G381734844, G5495043616
OpenAlex ID: W2128859126