PT - JOURNAL ARTICLE AU - Georgios Georgiou AU - Simon J. van Heeringen TI - fluff: exploratory analysis and visualization of high-throughput sequencing data AID - 10.1101/045526 DP - 2016 Jan 01 TA - bioRxiv PG - 045526 4099 - http://biorxiv.org/content/early/2016/03/24/045526.short 4100 - http://biorxiv.org/content/early/2016/03/24/045526.full AB - Summary Here we introduce fluff, a software package that allows for simple exploration, clustering and visualization of high-throughput sequencing experiments. The package contains three command-line tools to generate publication-quality figures in an uncomplicated manner using sensible defaults. Genome-wide data can be aggregated, clustered and visualized in a heatmap, according to different clustering methods. This includes a predefined setting to identify dynamic clusters between different conditions or developmental stages. Alternatively, clustered data can be visualized in a bandplot. Finally, fluff includes a tool to generate genomic profiles. As command-line tools, the fluff programs can easily be integrated into standard analysis pipelines. The installation is straightforward and documentation is available at http://fluff.readthedocs.org.Availability fluff is implemented in Python and runs on Linux. The source code is freely available for download at https://github.com/simonvh/fluff.Contact s.vanheeringen{at}science.ru.nl