PT  - JOURNAL ARTICLE
AU  - Minji Kim
AU  - Meizhen Zheng
AU  - Simon Zhongyuan Tian
AU  - Daniel Capurso
AU  - Byoungkoo Lee
AU  - Jeffrey H. Chuang
AU  - Yijun Ruan
TI  - Multiplex chromatin interaction analysis by signal processing and statistical algorithms
AID  - 10.1101/665232
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 665232
4099  - http://biorxiv.org/content/early/2019/06/10/665232.short
4100  - http://biorxiv.org/content/early/2019/06/10/665232.full
AB  - 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.