(Workshop formerly known as RNA-Seq using Galaxy.)

This is a QCIF course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email graduateschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future QCIF registrations becoming Waitlisted.

This interactive hands-on workshop introduces the concepts of RNA-Seq analysis, from data preparation through to statistical testing for differential gene expression, along with more advanced topics such as identification of novel transcription features and pathway and functional enrichment analysis. The workshop will focus on the use of Galaxy, a platform that provides a simple and user-friendly interface to bioinformatics tools, and will also feature an introduction to other freely-available RNA-Seq analysis resources. No prior experience required.

Learning Objectives

  • Perform QC evaluation and filtering on next-generation sequencing data
  • Use the Galaxy interface to identify differentially expressed genes from a RNA-Seq experiment
  • Identify over-represented gene functions and pathways from a list of differentially expressed genes

Syllabus

  • The tools and workflows for RNA-seq analysis
  • Analysis of RNA-seq data for organisms with reference genomes
  • Graphical summaries of gene expression data

About Bioinformatics and genomics

If your research study involves bioinformatics and genomics, we've got you covered! The Graduate School works with different providers to provide a range of sessions with esteemed providers such as QCIF.

Useful links

  • Queensland Facility for Advanced Bioinformatics (QFAB): Bioinformatics, biostatistics and biodata expertise
  • Hacky Hour (supported by RCC, QCIF, IMB and wonderful volunteer helpers!): RCC runs consultations every Tuesday at Cafe Nano. Come and ask IT questions such as: getting started with Python and R, stats, machine learning, bio-image, software tools, research data management (RDM), how to access high performance computing, cloud data storage and tools for data cleaning and data visualisation. Bring your project's IT problems or come along as a helper! Very occasionally Hacky Hour may not run; follow us on Twitter (@HackyHourStLuc​) to get the latest announcements. Aside from the usual IT research questions, 
    • First Tuesday of the monthBioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
    • Last Tuesday of the monthBioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab