What is it about?

This work describes BACH, a principled, model-based approach to reconstruct the spatial organization of chromosomes using Hi-C data.

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This work, in my opinion, is the first rigorous statistical method to use Hi-C data to reconstruct the spatial organization of an entire chromosome. The key is the use of the powerful sequential Monte Carlo (SMC) algorithm. One of the best use case of SMC to solve a real scientific problem.

Dr Zhaohui S. Qin
Emory University

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This page is a summary of: Bayesian Inference of Spatial Organizations of Chromosomes, PLoS Computational Biology, January 2013, PLOS,
DOI: 10.1371/journal.pcbi.1002893.
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