| (*)Students have a comprehensive understanding of bioinformatics techniques for genome analysis and transcriptomics, learning to analyze genetic variation, gene expression, and epigenomics. They are able to apply computational methods to process and interpret massive biological datasets, enabling them to explore genotype-phenotype associations, gene regulation, and the impact of genetic variation on traits and diseases.
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(*)- Analyzing Genetic Variation and Associations (k5)
Students can identify and analyze single nucleotide variants, copy number variations, and genotype-phenotype associations, understanding how genetic variations impact traits and diseases.
- Applying Population Genetics Models and Imputation Techniques (k5)
Students are able to work with population genetics models, apply phasing techniques, and perform genotype imputation to study genetic inheritance and identity by descent.
- Analyzing Gene Expression Using Transcriptomic Techniques (k5)
Students can use transcriptomic methods such as microarrays, RNA-seq, and read mapping to analyze gene expression dynamics and understand how genes are regulated at the transcriptional level.
- Detecting Splice Sites and Alternative Splicing Events (k5)
Students are capable of detecting gene and promoter sites, identifying splice sites, and analyzing alternative splicing events using computational tools, gaining insights into gene regulation.
- Applying Epigenomics and Pathway Analysis (k5)
Students can apply epigenomic techniques and analyze gene pathways and modules to explore how gene expression is regulated and how genetic networks function within biological systems.
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(*)Students know of key concepts in genome analysis, including genetic variation, population genetics models, and gene-phenotype associations, as well as advanced transcriptomics techniques like RNA-seq and gene expression profiling. They have learned to detect and analyze genes, promoters, splice sites, and epigenomic modifications, gaining insights into how these processes affect gene regulation and contribute to biological traits and diseases.
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