PHYLOGENETIC ANALYSIS OF MOLECULAR DATA
Theory and practice of phylogenetic inference from DNA sequence data.
Prerequisites & course information
Requisites: ( ZOOLOGY/BIOLOGY/BOTANY 151 , BOTANY/BIOLOGY 130 , ZOOLOGY/BIOLOGY 101 , or BIOCORE 381 ) and ( STAT 240 , 301 , 324 , or 371 ) or graduate/professional standing Course Designation: Core GenEd - Natural Science & Wellness + Lab Breadth - Biological Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Explain in details all the steps in the pipeline for phylogenetic inference and how different data and model choices affect the inference outcomes Audience: Both Grad & Undergrad 2. Plan and produce reproducible scripts with the analysis of real biological data Audience: Both Grad & Undergrad 3. Justify the data and model choices made for the data analysis Audience: Both Grad & Undergrad 4. Interpret the results of the most widely used phylogenetic methods in biological terms Audience: Both Grad & Undergrad 5. Orally present the results of phylogenomic data analyses based on the best scientific and reproducibility practices Audience: Graduate Learning Outcomes: 1. Explain in details all the steps in the pipeline for phylogenetic inference and how different data and model choices affect the inference outcomes Audience: Both Grad & Undergrad 2. Plan and produce reproducible scripts with the analysis of real biological data Audience: Both Grad & Undergrad 3. Justify the data and model choices made for the data analysis Audience: Both Grad & Undergrad 4. Interpret the results of the most widely used phylogenetic methods in biological terms Audience: Both Grad & Undergrad 5. Orally present the results of phylogenomic data analyses based on the best scientific and reproducibility practices Audience: Graduate
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- PHYLOGENETIC ANALYSIS OF MOLECULAR DATA · 3 credits.