TNEAtlas: A Pan-cancer Database to Identify and Characterize Transcribed Non-coding Elements

Advances in precision oncology have underscored the need to move beyond regulatory frameworks centered on protein-coding regions and better understand regulatory mechanisms within the non-coding genome. To systematically characterize transcribed non-coding elements (TNEs) in cancer, we developed an automated computational framework that integrates 130 RNA-seq datasets from 26 cancer types and 16 human tissues and identifies more than 2 million intergenic TNEs. In parallel, we established the...