BIOF 556 - Advanced Topics in Single Cell Analyses

Course Description

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“Advanced Topics in Single Cell Analyses” will explore the use and analyses of complex single cell experiments designed to precisely answer scientific questions using multi-dataset and/or multi-species measurements from the basic unit of life: the cell. This course will examine how experimental and computational challenges to measurements of single cell data reveal seemingly unlimited wealth of biological complexity. As with the introductory class, there will be a paired combination of didactic and practicum lectures to provide concepts along with practice. Learners will design a structured longitudinal project to dive deeper into one or more advanced topics discussed on one or more publicly available single cell datasets. These hands-on analyses will take learners through the advanced computational techniques employed in single cell data analyses. The weekly modules include diving into differential expression between conditions, other differential analyses, trajectory analysis, cell cycle assignment, and cross-species comparative analyses.

At the end of the course, you will be able to assess and explore advanced analyses for a complexly designed single cell RNA-seq with multi-modal or multi-species datasets using R. You will practice communicating your findings to peers and evaluate findings of published and individualized analyses of single cell data.

Learner Outcomes

When you complete the course successfully, you will be able to:

Describe the advantages and limitations of advanced techniques in single cell genomic approaches
Apply introductory analyses of single cell multi-modal analyses to a set of published single cell datasets
Conduct statistically robust techniques to dissect complex experimental designs using single cell data
Formulate and conduct an analysis plan to investigate specific hypotheses using single cell RNA-seq or multi-omic data
Draw biologically meaningful conclusions supported by data and analyses of single cell RNA-seq or multi-omic data
Understand how to appropriately investigate single cell data relating to continuous biological processes

Microcredential(s)

This course applies toward the Bioinformatics Endeavor digital badge.

What FAES Learners are Saying

"Practicums and practicals were helpful; working through my own project during the course (supported my learning.)" - FAES Learner

"The instructor went above and beyond in providing learning materials and guided lessons. The assessments were in line with what was required in the course, and the instructor was very knowledgeable." - FAES Learner

Textbook Information

There is no textbook for purchase required for this course.

Prerequisites

BIOF 555 and its prerequisites.

Refund
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BIOF 556 - Session B

Spring 2026

Mar 25, 2026 to May 12, 2026

Available

Advanced Topics in Single Cell Analyses

Online Asynchronous

Mar 25, 2026 to May 12, 2026

Eligible Discounts Can Be Applied at Checkout (2 Credits)

$775.00

.edu, .nih, .gov, .mil Discount: 2 Credit Course

2 Credit(s)