TY - JOUR AU - Kim, Minji AU - Zheng, Meizhen AU - Tian, Simon Zhongyuan AU - Lee, Byoungkoo AU - Chuang, Jeffrey H. AU - Ruan, Yijun PY - 2019 DA - 2019/11/25 TI - MIA-Sig: multiplex chromatin interaction analysis by signalprocessing and statistical algorithms JO - Genome Biology SP - 251 VL - 20 IS - 1 AB - The single-molecule multiplex chromatin interaction data are generatedby emerging 3D genome mapping technologies such as GAM, SPRITE, and ChIA-Drop. Thesedatasets provide insights into high-dimensional chromatin organization, yetintroduce new computational challenges. Thus, we developed MIA-Sig, an algorithmicsolution based on signal processing and information theory. We demonstrate itsability to de-noise the multiplex data, assess the statistical significance ofchromatin complexes, and identify topological domains and frequent inter-domaincontacts. On chromatin immunoprecipitation (ChIP)-enriched data, MIA-Sig can clearlydistinguish the protein-associated interactions from the non-specific topologicaldomains. Together, MIA-Sig represents a novel algorithmic framework for multiplexchromatin interaction analysis. SN - 1474-760X UR - https://doi.org/10.1186/s13059-019-1868-z DO - 10.1186/s13059-019-1868-z ID - Kim2019 ER -