Discovery Early Career Researcher Award - Grant ID: DE220101210

破译染色质相互作用的分子遗传机制。该项目旨在通过将新的机器学习工具与基因组和表观基因组数据集进行稳健的集成，在61个组织和细胞中生成增强子-启动子链接的高置信度图。了解基因组中的哪些关键元素对于微调基因表达可能是重要的，这对于理解生物途径是必不可少的。预期的结果包括：i)强有力地识别真染色质对的新工具；ii)61个组织和细胞的全面的调控相互作用图，这将为解释和优先处理非编码变体提供路线图。\n这将为澳大利亚通过对基因调控机制的基础了解而进行尖端基因组研究的能力提供重大好处。

Deciphering molecular genetic mechanisms underlying chromatin interactions. 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.\nThis should provide significant benefit to Australia's capacity for cutting-edge genomics research through fundamental understanding of gene regulation mechanism.