Only 2% of the human genome consists of protein-coding genes. The remaining 98% is non-coding and thought to encode the regulatory information for gene expression. Interpreting this non-coding region is thus key to

understanding the functional genome and its implications for complex diseases. To tackle this, we take advantage

of biological data generated from breakthroughs in chemical biology and bioengineering such as short- and long

read sequencing, oligo-synthesis, chemical probing, and click chemistry. In this talk, I'd be sharing some of our

research directions in developing technology-specific computational tools for this RNA perspective of functional

genomics. Our ultimate goal is to achieve this at single-nucleotide resolution across transcription, processing,

modification, translation, decay, and other stages of the RNA life cycle.