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 practical workshop covers 16S bacterial metagenomics analysis. You will learn about pre-processing and quality -filtering of your data, assembly of reads into Operational Taxonomic Units (OTUs), and visualisation and export of data for further analysis.

The workshop will be based in Galaxy, a platform that provides a simple and user-friendly interface to bioinformatics tools.

Recommended Participants

Biologists and other life scientists planning to work with next-generation sequencing data from 16S metagenomics samples. No previous bioinformatics experience is required.

Learning Objectives

  • Perform QC evaluation and filtering on next-generation metagenomic sequence data
  • Use the Galaxy interface to classify sample sequences into OTUs
  • Visualise OTUs between samples in an interactive Krona plot
  • Exporting of OTUs and Krona plots for further analysis

Syllabus

  • What is Metagenomic analysis and what types of results can be generated
  • Quality control and filtering of next-generation sequencing data
  • Mapping of sequence data to known microbial databases
  • Clustering and classification of each sequence into OTUs
  • Visualisation of OTUs on a Krona plot

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