Deciphering molecular genetic mechanisms underlying chromatin interactions

该项目旨在通过新型机器学习工具与基因组和表观基因组数据集的强大集成，生成61个组织和细胞中增强子-启动子链接的高置信度图谱。了解基因组中哪些关键元素可能对微调基因表达很重要，对于理解生物学途径至关重要。预期的结果包括i)新的工具来强大地识别真正的染色质对；ii) 61个组织和细胞中调控相互作用组的综合图谱，这将为解释和优先排序非编码变异提供路线图。

This project aims to generate the high confidence map of enhancer-promoter links in 61 tissues and cells through robust integration of novel machine learning tools with genomic and epigenomic datasets. Understanding which key elements in the genome may be important to fine-tune gene expression is essential for understanding biological pathways. The expected outcomes include i) New tools to robustly identify true chromatin pairs; ii) Comperehensive maps of regulatory interactomes in 61 tissues & cells, which will provide a roadmap for interpreting & prioritising noncoding variants. This should provide significant benefit to Australia's capacity for cutting-edge genomics research through fundamental understanding of gene regulation mechanism.