fluff: exploratory analysis and visualization of high-throughput sequencing data

Georgios Georgiou; Simon J van Heeringen

doi:10.1101/045526

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bioRxiv · 10.1101/045526

fluff: exploratory analysis and visualization of high-throughput sequencing data

Georgios Georgiou·Simon J van Heeringen

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Abstract

SummaryIn this application note we describe fluff, a software package that allows for simple exploration, clustering and visualization of high-throughput sequencing data mapped to a reference genome. 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.\n\nAvailabilityfluff is implemented in Python and runs on Linux. The source code is freely available for download at http://github.com/simonvh/fluff.\n\nContacts.vanheeringen@science.ru.nl

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Georgios Georgiou, Simon J van Heeringen. 2016-03-24. fluff: exploratory analysis and visualization of high-throughput sequencing data. https://doi.org/10.1101/045526

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