Getting poster data...
Fidel Ramírez, Friederike Dündar, Sarah Diehl, Björn A. Grüning, Thomas Manke (Max-Planck-Institute for Immunobiology and Epigenetics, Freiburg, Germany, Department of Computer Science, University of Freiburg, Germany)We present deepTools, a suite of tools to aid the exploration of deep-sequencing data (NGS data). While the number of experiments relying on NGS data is increasing tremendously, the visualization of biological information from billions of raw reads still suffers from a lack of standardized data processing. We set out to develop tools that allow for efficient, user-friendly handling and subsequent visualization of NGS data. deepTools offers vast parameters for customizing the display of genome-wide scores in clustered heatmaps and summary plots. In addition, we provide standardized diagnostic plots for aligned sequences and various bias normalization strategies. The underlying software was optimized for highly parallelized processing, making the tools suitable for routine analysis of large-scale data. Apart from publication-ready images, users can export output files in established file formats. We offer deepTools Galaxy wrappers and the stand-alone tools for command line usage. Through our wiki page (https://github.com/fidelram/deepTools/wiki) we additionally provide extensive guidance to the tools usage and NGS data analysis.