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Notably, research over the last 30 years has begun to shed light on the fact that the higher-order, 3-dimensional organization of our genome plays a critical role in the interpretation of the genetic information encoded in our genome. The structure of our genome in the nucleus has been clearly demonstrated to play influential roles in diverse nuclear processes including DNA replication and gene expression. Despite this, our understanding of the structure of our genome within the nucleus remains incomplete. The reasons for this include limitations in the resolution and throughput of existing tools in chromatin topology mapping, a scarcity of the analytical tools for studying genome structure datasets, and the difficulty to relate the nuclear structure to function. Due to recent advancements in molecular methods based on high-throughput DNA sequencing, single cell analytical approaches, and high-resolution microscopy, the time for breaking through these previous limitations has come. 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Transposable elements contribute to nearly 80%  of the human-specific candidate cis-regulatory elements in cortical cells.  Through machine learning, we develop sequence-based predictors of candidate  cis-regulatory elements in different species and demonstrate that the genomic  regulatory syntax is highly preserved from rodents to primates. Finally, we show  that epigenetic conservation combined with sequence similarity helps to uncover  functional cis-regulatory elements and enhances our ability to interpret genetic  variants contributing to neurological disease and traits.", "title": "Conserved and divergent gene regulatory programs of the mammalian neocortex.", "display_title": "Zemke NR et al. 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