RNA Bioinformatics Training Courses
The Shine-Dalgarno Centre offers RNA bioinformatics training for students and researchers working with RNA datasets.
Date & time
Date/time
27 Jul 2026 1:00pm - 7 Sep 2026 4:00pm
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Description
The Shine-Dalgarno Centre is offering a series of RNA bioinformatics training courses for HDR students, Honours and Masters students, academics and Early Career Researchers who are working with RNA-related datasets or planning RNA-focused research projects.
The training will cover key modules in Data Analysis with R, RNA-seq Analysis, Single-cell RNA-seq Analysis and Spatial Transcriptomics, with optional drop-in sessions available for questions and additional support.
These courses are designed to help participants strengthen their practical bioinformatics skills and confidence in analysing RNA-related research data.
Places are limited, so participants are asked to register only for the sessions they are able to attend. Some modules require prerequisite knowledge of R, and attendance requirements apply for registered participants.
For registration links, course outlines or further information, please contact hdr.sdcri@anu.edu.au.
Schedule
| Date | Day | Time (AEST) | Workshop | Registration |
|---|---|---|---|---|
| 27 July 2026 | Monday | 1:00 pm – 5:00 pm | Data Analysis with R for Genomics (Day 1) | Register |
| 28 July 2026 | Tuesday | 1:00 pm – 5:00 pm | Data Analysis with R for Genomics (Day 2) | Register |
| 3 August 2026 | Monday | 1:00 pm – 5:00 pm | RNA-Seq Analysis with R | Register |
| 4 August 2026 | Tuesday | 1:00 pm – 5:00 pm | RNA-Seq Analysis with R | Register |
| 17 August 2026 | Monday | 2:00 pm – 4:00 pm | Drop-In Session | Register |
| 25 August 2026 | Tuesday | 1:00 pm – 5:00 pm | Single-cell RNA-Seq Analysis Using R | Register |
| 26 August 2026 | Wednesday | 1:00 pm – 5:00 pm | Single-cell RNA-Seq Analysis Using R | Register |
| 31 August 2026 | Monday | 1:00 pm – 5:00 pm | Spatial Transcriptomics | Register |
| 1 September 2026 | Tuesday | 1:00 pm – 5:00 pm | Spatial Transcriptomics | Register |
| 7 September 2026 | Monday | 2:00 pm – 4:00 pm | Drop-In Session | Register |
Frequently Asked Questions
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