The Integrative Genome Modeling (IGM) platform incorporates information from multiple, complementary experimental data sources to accurately simulate whole diploid genome structures. We show that such structures have high predictive power and give access to a large variety of structural observables for the characterization of the gene microenvironment.
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References
Boninsegna, L. et al. Integrative approaches in genome structure analysis. Structure. 30, 24–36 (2022). A Review article that presents key developments in the integrative imaging of single-cell genomes and computational modeling.
Dekker, J. et al. The 4D nucleome project. Nature 549, 219–226 (2017). This paper is the manifesto of the 4D Nucleome Consortium, which aims to characterize whole-genome structure using experiments and simulations in a synergistic fashion.
Tjong, H. et al. Population-based 3D genome structure analysis reveals driving forces in spatial genome organization. Proc. Natl Acad. Sci. USA 113, E1663–E1672 (2016). This paper introduces the population-based 3D genome modelling approach for the first time and applies that to ensemble Hi-C.
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This is a summary of: Boninsegna, L. et al. Integrative genome modeling platform reveals essentiality of rare contact events in 3D genome organizations. Nat. Methods https://doi.org/10.1038/s41592-022-01527-x (2022).
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Reconstructing whole genome structures using a multi-modal data integration approach. Nat Methods 19, 934–935 (2022). https://doi.org/10.1038/s41592-022-01528-w
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DOI: https://doi.org/10.1038/s41592-022-01528-w
