Pease Lab
integrative genomic evolution
Undergraduate Courses
  • BIO 160: Biology II (3h) (2020–Present)
    • A connected introduction to molecular genetics, evolution, biodiversity, ecology, and environment.
  • BIO 383+L: Genomics with Lab (3+1h) (2017–present) [Reading List below]
    • Exploration of sequencing methods, genome assembly and mapping, quantitative analyses of variation, and population genomics. Applications explored in evolution, ecology, medicine, and bioethics.
  • BIO 384+L: Molecular Evolution with Lab (3+1h) (2019–present) [Reading List below]
    • Introduction to molecular evolutionary models and analysis at the population and multispecies levels, exploring drift, natural selection, mutation, and phylogenetics.
Graduate Courses
  • BIO 720/721: Integrative Biology (3h) (2022–present)
    • Focused graduate-level introduction to key principles in biology and development of scientific reasoning skills.
  • BIO 705: Population Genetics (2h) (2018–present)
    • Advanced introduction to the history, models and methods of population genetics and genomics. Focus on reading foundational and modern literature.
  • BIO 785/786: Teacher-Scholar Development (1h) (2017–present)
    • Professional development course for new graduate students focusing on career development, professional and science communication, ethics, grants, and publishing.
Seminars & Workshops
  • EMBO Computational Molecular Evolution Course (2016, 2018, 2019)
  • Transcriptomics workshop for non-model plants (Botany Meeting 2016 Savannah, GA)
  • Workshop/Symposium “Biodiversidad del género Solanum” (2014 - UTPL, Loja, Ecuador)
  • Indiana University Bioinformatics Clinic (2014)
Past Courses
  • BIO 213: Genetics and Molecular Biology (2016–2019; previous biology core)
    • Intermediate course introducing molecular genetics, regulation, development, genetic inheritance, and techniques in molecular biology, genetics, and genomics.
  • BIO 704: Foundations of Evolutionary Genetics (1h) (2019–present) [Reading List below]
    • Key papers, theories, and controversies in the genetic study of evolutionary processes.
Reading Lists
Below are reading lists and computational tutorials for past courses. These courses used review articles, primers, video tutorials, and other resources to synthesize a set of readings that are accessible for an upper-level undergraduate or introductory graduate course. We welcome any suggested additions to the course reading lists.
Bioinformatics Tutorials