Exploring the Roles of RNAs in Chromatin Architecture Using Deep Learning

We investigate the roles of chromatin-associated RNAs (caRNAs) in genome folding in HFFc6 cells by bioinformatics analyses and proposing a deep learning framework that leverages both genome sequences and genome-wide RNA-DNA interactions.

Roadmap

• Source code Custom code for data exploration, contribution score computation, and downstream analyses.
• Figures Jupyter notebook for generating the figures.
• Data Some of the processed data for generating the figures. More data can be found at: [https://zenodo.org/records/10015010].
• The deep learning framework is built on Akita and the modified code is available upon request.

Contact

If you have any questions, please feel free to contact [email protected] or [email protected].