Building Plant 3D Genome Computing Resources

Abstract

Chromatin interactions play increasingly important roles in three-dimensional genome organization and long-range gene regulation. Analyzing the three-dimensional structure of the plants is currently a growing field and we noticed that there is lack of computing resources on chromatin interactions for the plants. So, we are introducing a database of statistically significant chromatin interactions processed using Hi-C experimental approach. The users can search in the database using a set of genes or regions for a selected plant organism through a web browser and it lists down all the statistically significant chromatin interactions involved those genes or regions with the confidence scores, Gene Ontology information and pathway information. It serves as a computing resource for biologists and scientists who want to study plant genomes under the context of three-dimensional structure without any programming experience.