Functional Enrichment Analysis places a list of differentially expressed genes into a biological context. It presents a systems-level perspective that can reveal expression patterns, elucidate molecular mechanisms, and guide follow-up experiments.
This workshop is targeted toward researchers comfortable with R/RStudio who would like to better understand and apply functional enrichment approaches for bulk and/or single-cell RNA-seq datasets.
By the end of this workshop, participants will be able to:
Describe common approaches, tools, and reference databases.
Run analyses on single-cell and bulk RNA-Seq inputs using web tools and R.
Understand and use different functional analysis approaches, including over-representation analysis and GSEA analysis.
Build meta-analyses across multiple comparisons.
Visualize gene-level activity within gene sets and create publication-ready figures.
We hope that this introduction provides a foundation to help interpret and run functional analyses on your own.
Our purpose is not to be exhaustive, there is a lot that we cannot cover in the allotted time, and we don’t expect anyone to be an expert at the end of the workshop.
Please let us know if there is anything we can do to improve the workshop experience.
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Chris | Marci | Dana | Raymond |
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Travis | Rebecca | Nick |
Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for the workshop.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.
The Bioinformatics Core is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form.
Thank you for helping make this a welcoming, friendly community for all.
If you have questions about the CoC please reach out to the hosts during the workshop, or email us at bioinformatics-workshops@umich.edu.
To report a CoC incident/concern, please email Chris Gates
(Bioinformatics Core, Managing Director) at cgates@umich.edu or
contact the University of Michigan Equity, Civil Rights, and Title IX
Office at University of Michigan Equity, Civil Rights, and Title IX
Office.
We will be recording this session. Recordings will be available to participants following the workshop.
To see what the instructor is sharing, click the “Chris’s Screen”
button in the top of the Zoom window.
Zoom controls are at the bottom of the Zoom window:
To minimize distractions, we encourage participants to keep their audio muted (unless actively asking a question).
To maximize engagement, we encourage participants to keep their video on.
Slack works better than Zoom’s Chat function so avoid Zoom Chat for now.
You can enable transcription subtitles for your view.
We will be using Breakout Rooms occasionally for ad-hoc 1-1 helper support. We will review this in detail together in a few minutes.
Zoom’s “Reactions” are a useful way to interact. You can access these from the React button.
Take a moment to briefly introduce yourself (name, dept/lab, area of study) in a breakout room.
What is one thing you hope to learn in this workshop?
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“I have an urgent question” | ![]() |
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“I have a general question” | Post a question | |
“I’m stuck / I need a hand” | Post a note | |
Instructor check-in | ![]() ![]() |
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Instructor Slack question | Respond in Slack thread |
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This workshop content is licensed under a Creative Commons Attribution 4 License.
The workshop Code of Conduct has been adapted from the NumFocus Code of Conduct which itself draws from numerous sources, including the Geek Feminism wiki, created by the Ada Initiative and other volunteers, which is under a Creative Commons Zero license, the Contributor Covenant version 1.2.0, the Bokeh Code of Conduct, the SciPy Code of Conduct, the Carpentries Code of Conduct, and the NeurIPS Code of Conduct.
This workshop relies heavily on these tools / approaches/ datasets: