Long-read assembly using Galaxy (QCIF) [webinar]
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.
Termed ‘hybrid assembly’, learn how to use read data produced from two different sequencing platforms, Illumina (short read) and Oxford Nanopore Technologies (long read), to carry out de novo genome assembly.
The workshop will focus on the use of 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 long-read (ONT) and Illumina data for genome assemblies. No prior bioinformatics knowledge is required.
Learning Objectives
- Understand how Nanopore and Illumina reads can be used together to produce a high quality assembly
- Be familiar with genome assembly and polishing programs
- Learn how to assess the quality of a genome assembly, regardless of whether a reference genome is present or absent
- Be able to assemble an unknown, previously undocumented genome to high-quality using Nanopore and Illumina reads
Previously known as Assembly of long-read sequencing 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 month: Bioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
- Last Tuesday of the month: BioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab