PLSCI 6000

Concepts and Techniques in Computational Biology

Course Description

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

This course is geared towards graduate students and advanced biology undergraduates seeking a better understanding of computational biology. Lectures will be a combination of presentations, paper discussions and hands-on sessions. Labs and paper discussions will have a significant component of plant science, but students from non-plant fields are also encouraged to register. Students will learn to work in a Unix environment, code using Python/R, and deploy tools for genome assembly, RNA-seq data analysis, local and global sequence alignment, protein domain searching using Hidden Markov Models, phylogenetic reconstruction, metabolomic analysis, and machine learning. Lectures will cover the algorithmic concepts underlying popular tools. The students will also learn practical aspects of implementing these tools in their own research using facilities available at Cornell.

Permission Note Enrollment limited to: graduate students.

Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP

Outcomes

• Implement popular bioinformatics tools using Unix, Python, and R.
• Explain the theory behind different bioinformatics tools.
• Identify the applicability, strengths, and weaknesses of different bioinformatics algorithms.
• Integrate popular bioinformatics tools into their own research.
• Critique plant science research papers utilizing bioinformatics tools, and identify the caveats of the performed analyses.

When Offered Spring.

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