RESEARCH
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.
Hierarchies of the 3D genome organization by Yang, M. et al.,2022
GMOL Visualization Tool in 3D Genome Structure
Generalizable Model for 3D Chromosome Reconstruction Using GCNN
Graphical Abstract of TADMaster
HiCARN Architecture for Hi-C Data Enhancement
Heat map diagram of GM12878 chromosome 4 predictions
HiCForecast for Spatiotemporal Hi-C data forecasting
Illustration of 2 step biochemistry process for Splice Sites.
Unicorn for Single-Cell Hi-C Data Enahcenment and 3D Structure Reconstruction.
OFFICE NO:
Discovery Park – F209
EMAIL:
oluwatosin.oluwadare [at] unt [dot] edu
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