SPar-K: a method to partition NGS signal data.

Groux, Romain; Bucher, Philipp · Bioinformatics · 2019

basic_science · Level V

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Abstract

We present SPar-K (Signal Partitioning with K-means), a method to search for archetypical chromatin architectures by partitioning a set of genomic regions characterized by chromatin signal profiles around ChIP-seq peaks and other kinds of functional sites. This method efficiently deals with problems of data heterogeneity, limited misalignment of anchor points and unknown orientation of asymmetric patterns. SPar-K is a C++ program available on GitHub https://github.com/romaingroux/SPar-K and Docker Hub https://hub.docker.com/r/rgroux/spar-k. Supplementary data are available at Bioinformatics online.

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