Dr. Oluwadare Bioinformatics Lab is a pioneering force in developing advanced algorithms, computational methods, and relevant software tailored to efficiently address critical biological issues. Our holistic approach seamlessly integrates cutting-edge technologies, such as machine learning, deep learning, and artificial intelligence (AI), to dissect vast biomedical datasets, providing profound insights into complex biological inquiries. Our research extends into the fascinating domains of 3D genome structure reconstruction and RNA splice site prediction.

In 3D genome structure reconstruction, we use cutting-edge techniques to unveil genome spatial organization, advancing understanding of chromatin architecture. Concurrently, our RNA splice site prediction expertise employs machine learning and AI to enhance accuracy, shedding light on gene expression regulation. Systematically processing vast  publicly available biomedical data, our goal is to provide innovative solutions to biological challenges, contributing to transformative breakthroughs in bioinformatics and the biological sciences.

Different hierarchies of the 3D genome organization
[Illustration from Yang, M., & Ma, J. (2022)].
GMOL Visualization Tool in 3D Genome Structure
Generalizable Model for 3D Chromosome Reconstruction Using Graph Convolutional Neural Networks
Overview of the cascading block architecture for Resolution Enhancment (HiCARN)
Heat map diagram of GM12878 chromosome 4 predictions from HiCARN and existing models.
3D reconstructions of 1/16 downsampled data, HiCARN-1 and HiCARN-2 contact matrices compared to the 3D reconstruction of real HR contact matrix.
Graphical Abstract of TADMaster
Illustration of 2 step biochemistry process for Splice Sites.
Dr. Oluwadare and group
(719) 255-3004
ooluwada [at] uccs [dot] edu
Osborne Center for Science and Engineering A-210
1420 Austin Bluffs Pkwy
Colorado Springs, CO 80918