Hypothesis

Gene expression is a complex, dynamic biological process regulated by multiple factors that directly translate across multiple generations.

Even before the human genome was first sequenced, significant efforts have been made to further understand how chemical and environmental factors affect expression, but classical bulk testing and marker-based technologies provided low resolution data.

In the last decade, the advent of single-cell genomics as well as scalable decentralized technology platforms have greatly improved the quality of the data generated, how it is stored for analysis, and shared with collaborators for review.

Integrating large language model and machine learning technologies into current research approaches will lead to better understanding how histone modifications impact expression.