BACKGROUND: Functional genomic and epigenomic research relies fundamentally on
sequencing based methods like ChIP-seq for the detection of DNA-protein
interactions. These techniques return large, high dimensional data sets with
visually complex structures, such as multi-modal peaks extended over large
genomic regions. Current tools for visualisation and data exploration represent
and leverage these complex features only to a limited extent. RESULTS: We present
DGW, an open source software package for simultaneous alignment and clustering of
multiple epigenomic marks. DGW uses Dynamic Time Warping to adaptively rescale
and align genomic distances which allows to group regions of interest with
similar shapes, thereby capturing the structure of epigenomic marks. We
demonstrate the effectiveness of the approach in a simulation study and on a real
epigenomic data set from the ENCODE project. CONCLUSIONS: Our results show that
DGW automatically recognises and aligns important genomic features such as
transcription start sites and splicing sites from histone marks. DGW is available
as an open source Python package.

DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks.

DGW is a software tool to cluster, align, and visualize epigenomic marks, such as transcription start sites and splicing sites. The DGW algorithm uses DGW uses Dynamic Time Warping to rescale and align genomic distances to group regions adaptively.

DGW

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