Introduction to bulk RNA-seq Part II workshop (2023)
Note: In 2023, some workshops will be taught in person and others will be online via Zoom.
ONLINE Workshop dates and times:
Tuesday, June 6, 2023: 10 AM - 12 PM
Friday, June 9, 2023: 10 AM - 12 PM
Tuesday, June 13, 2023: 10 AM - 12 PM
Friday, June 16, 2023: 10 AM - 12 PM
Instruction will be mostly learner-centric, requiring a time commitment between the workshop sessions!
Description:
This hands-on workshop will introduce participants to statistical methods and considerations utilized to perform differential gene expression analysis on bulk RNA-seq data. Participants will learn about best practices in quality control, how to perform statistical analysis to obtain lists of differentially expressed (DE) genes using DESeq2. The workshop will also give participants an overview of tools for functional analysis of DE genes and how to extract some biological meaning from large gene lists.
** Please note that this workshop does NOT cover single-cell RNA-seq analysis. **
** Please note that you DO NOT need to attend Part I to attend this workshop, all you need is R fluency.
Prerequisites:
This is one of our advanced workshops, and requires registants to have attended the following Basic workshop offered by our training team in the last 6-8 months:
I am fluent in R but have not attended the HBC prerequisite workshop, can I still register?
Yes, you can register AND please do the following:
- Complete the registration first
- Then email us directly at hbctraining@hsph.harvard.edu with a description of your knowledge/experience. Failure to do this step may prevent you from being accepted into this advanced workshop.
Who should attend?
Eligible* Any researcher affiliated with Harvard University or any Harvard affiliated institution participating in HIV related research who have attended our Introduction to R workshop (or have working knowledge of R), and want to learn:
- How to perform a differential expression analysis at the gene-level
- How to effectively use R to get your data in the appropriate format for DE analysis
- The steps and statistical approaches used in assessing the quality of your abundance estimates (count data)
- How to visualize expression patterns for differentially expressed genes
- How to perform functional analysis on gene lists with R-based tools
Cost:
There is a non-refundable and non-transferable $50 registration fee for this advanced workshop.
We will be accepting 25 participants on a first-come, first-served basis:
- If you are one of the first 25 eligible* registrants, you will receive an email within 1 week with a link to pay the (non-refundable & non-transferable) $50 registration fee.
- If you are not among the first 25 eligible* registrants, you will be added to the waitlist and notified when we open registration for the next iteration of this workshop.
NOTE: You will not have a reserved seat for this workshop until you pay the registration fee. Please make sure you pay within the time stated in that email, else you will lose your spot to someone on the waitlist.
Registration:
Please make sure you take the following into account when signing up for the workshop:
- Mandatory attendance for all four classes.
- 3-5 hours of reading and exercises from selected lessons before each workshop sessions.
- Active participation during discussion sessions.
Eligibility requirements:
*To be eligible to attend this workshop you must be a Researcher at a Harvard affiliated institution participating in HIV related research.
If you are unsure of your eligibility, please register anyway and we will get back to you.
(Please check the eligibility requirements prior to registering)
NOTE: We do not record our training sessions.
Questions?
Please email us at hbctraining@hsph.harvard.edu with any questions.