Learner Profiles

This course is aimed at graduate students, postdocs, and faculty interested in learning about single cell analysis in the Bioconductor ecosystem in R. Learners should have a solid basis in the following foundational areas:

• Molecular biology basics on concepts such as DNA sequencing, cell structure, and the central dogma of molecular biology
• Statistics basics such as hypothesis tests, summary statistics, principal component analysis
• R basics such as variable assignment, accessing object components, and looking up help documentation

The following online textbooks/resources provide excellent coverage of these and related topics if you would like a refresher:

• Molecular Biology of the Cell, Alberts et al.
• Modern Statistics for Modern Biology
• Bioconductor Carpentries on Introduction to data analysis with R and RNA-seq analysis
• R for Data Science (2e)

The following are not required:

• your own single-cell dataset (we use publicly available data)
• access to high-performance computing environments (we use small demonstrative examples that are tractable on any reasonably modern laptop)