Assembly of Long-Read Sequencing with Galaxy (DSCRP) [webinar]
This is a Data Science Collaborative Research Platform (DSCRP) course and places are highly limited. 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 your future DSCRP registrations becoming Waitlisted.
Participants will learn how to perform de novo genome assembly using different bioinformatics tools. This workshop explores how Oxford Nanopore technologies long read data and Illumina short read data can be combined to produce a high-quality genome assembly. We will use a bacterial genome as an example. We will also cover how to assess the quality of a genome assembly. The workshop will use the Galaxy Australia 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.
Presenter: Valentine Murigneux, Senior Bioinformatician, Data Science Collaborative Research Platform
By registering, you are consenting to the release of your name and email address to DSCRP for attendance purposes. Full attendance is expected.
Previously known as Assembly of long-read sequencing data
About Bioinformatics and genomics
Useful links
- 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