SUMMARY: 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.
AVAILABILITY AND IMPLEMENTATION: 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 INFORMATION: Supplementary data are available at Bioinformatics 
online.