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BioInformatics utilizes computational science methods to address challenges in biology and medicine. It employs approaches from machine learning, data analysis, artificial intelligence, optimization, visualization, and modeling while creating novel methodologies when needed. The team focuses on diverse genomics and proteomics projects, developing core algorithms for: predicting 3-D molecular structures, analyzing NMR spectra, multiple sequence alignment, plus creating web-based solutions for automated large-scale sequence analysis.
Our program provides educational courses and research projects across multiple fields such as Artificial Intelligence, Database Management, Game Development, Machine Learning, Robotics, Software Development, Human-Computer Interfaces, Bioinformatics, Network Communications, Algorithm Design, Graphic Computing, Visual Computing, System Software, Interactive Technology, Network Infrastructure, and Digital Media.