Development of physics-based computational models for predicting the spatial architecture of bacterial genomes.

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The functioning of genomes has been connected to its spatial organization in different topologicaldomains, where co-functional genes assemble and coordinate their function. Hi-C technology is thesingle type of experiment that can provide 3-D maps of entire genomes, although it is a hardexperimental technique, only attainable to few labs in the world and it just provides a low resolutionpicture. Thus, effective computational tools capable to infer and support Hi-C data will make us toadvance towards further controlling genetic information and engineering better genomes forsynthetic biology. Matthew Burman is developing an algorithm to predict the 3D shape of genomic fragments and compare the outcomes with Hi-C data in collaboration with Mark Leake and Tung Le (JIC, Norwich). The library of topology-relevant sequence motifs will be used to scan different genomes of interest at a bioinformatics level in collaboration with James Chong (Biology)