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bioRxiv · 10.1101/665232

Multiplex chromatin interaction analysis by signal processing and statistical algorithms

Kim, M.·Zheng, M.·Tian, S. Z.·Capurso, D.·Lee, B.·Chuang, J. H.·Ruan, Y.
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Abstract

The single-molecule multiplex chromatin interaction data generated by emerging non-ligation-based 3D genome mapping technologies provide novel insights into high dimensional chromatin organization, yet introduce new computational challenges. We developed MIA-Sig (https://github.com/TheJacksonLaboratory/mia-sig.git), an algorithmic framework to de-noise the data, assess the statistical significance of chromatin complexes, and identify topological domains and inter-domain contacts. On chromatin immunoprecipitation (ChIP)-enriched data, MIA-Sig can clearly distinguish the protein-associated interactions from the non-specific topological domains.

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Kim, M., Zheng, M., Tian, S. Z., Capurso, D., Lee, B., Chuang, J. H., Ruan, Y.. 2019-06-10. Multiplex chromatin interaction analysis by signal processing and statistical algorithms. https://doi.org/10.1101/665232

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