The Cancer Bioinformatics course provides an in-depth exploration of advanced computational methods and analysis in cancer research. Students will analyze high-throughput sequencing data, including mutation calling, copy number alterations, discovery of mutations that drive tumor development and tumor phylogenies, while learning statistical modeling and machine learning techniques. The course integrates computational tools such as Linux, Python, and R alongside cloud platforms like Terra and Docker, to process and visualize large-scale datasets. Topics include next-generation sequencing (NGS), tumor biology, RNA-Seq, single-cell RNA-Seq, DNA repair signatures, proteomics, and epigenetics. Emphasizing both theoretical foundations and practical skills, the course prepares students to tackle complex challenges in cancer genomics and clinical bioinformatics.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.