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

开发基于物理的计算模型来预测细菌基因组的空间结构。

• 批准号: 2274996
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2274996
• 关键词: Development; physics; based; computational; models

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)

基因组的功能与其在不同拓扑结构域中的空间组织有关，在这些拓扑结构域中，共功能基因组装并协调它们的功能。Hi-C技术是一种可以提供整个基因组的3D图谱的单一类型的实验，尽管它是一种很难的实验技术，世界上只有少数实验室可以实现，而且它只能提供低分辨率的图像。因此，能够推断和支持Hi-C数据的有效计算工具将使我们朝着进一步控制遗传信息和为合成生物学设计更好的基因组的方向前进。Matthew Burman正在开发一种算法来预测基因组片段的3D形状，并与Mark泄漏和Tung Le（JIC，Norwich）合作将结果与Hi-C数据进行比较。与James Chong（生物学）合作，拓扑相关序列基序库将用于在生物信息学水平上扫描不同的感兴趣基因组。