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 language | English (US) |
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Pages (from-to) | 2384-2387 |
Number of pages | 4 |
Journal | Bioinformatics |
Volume | 31 |
Issue number | 14 |
DOIs | |
State | Published - Jul 15 2015 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics