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This course provides an in-depth exploration of cutting-edge molecular biology techniques and their applications in genetic research and disease diagnosis. Students will gain both theoretical knowledge and practical experience in advanced molecular methods, including gene editing, quantitative PCR, and next-generation sequencing. Emphasis will be placed on real-world applications, such as biomarker discovery for cancer and genetic disease diagnosis.

• This course introduces the computational methodologies used to support RNA interference (RNAi) research, with emphasis on siRNA design and evaluation. Bioinformatics tools are essential for identifying gene targets, selecting effective siRNA sequences, predicting off-target interactions, and integrating computational results into experimental workflows.
• The course presents practical and theoretical aspects of RNAi-related data analysis, focusing on sequence-based approaches and interpretation of predictive outputs. It is intended for researchers involved in molecular biology, genomics, and preclinical RNAi studies who require a structured understanding of computational support tools in gene silencing research.