Training
The Shared Research Facilities run training courses throughout the year. These courses combine bioinformatics practical sessions with lectures to familiarise participants with the both the theory and practice behind various techniques.
An Introduction to Omics
Dates
7 - 11 October 2024
Times
Day 1: 0930-1200
Day 2: 0930-1500
Day 3: 0930-1200
Day 4: 0930-1430
Day 5: 0930-1200
Venue
Course will be held via Zoom and Moodle
Speakers
Richard Burchmore, Gavin Blackburn, Ronan Daly, David McGuinness
Description
A course held over 5 days, aimed at familiarising participants with the basis and application of various omics disciplines: genomics, transcriptomics, proteomics, metabolomics, lipidomics, and bioinformatics. Each of the omics disciplines will be covered by a lecture and a practical bioinformatics session. By the end of the course users should understand, for each omics level: the basis of the discipline, the instrumentation used to generate high-throughput biological data, key applications, and how to visualise the resulting data using commonly used software packages. Participants will also be aware of how different large-scale data sets can be integrated in order to obtain better biological inference, and appreciate the nature of other modern challenges in bioinformatics.
Course fee
£340
Cancellation policy
A refund will be issued if a booking is cancelled more than one week prior to the workshop.
Target group
Research students and staff who wish to deepen their understanding of high throughput data generation and analysis.
Local Organiser
Rachael Munro, MVLS Shared Research Facilities
Registration and enquiries
Please provide a budget centre or PO number for the course fee and state which course you would like to register for.
Galaxy Workshop
Date
5 and 6 November 2024
Time
Day 1: 0930 - 1500
Day 2: 0930 - 1500
Venue
Course will be held via Zoom and Moodle
Trainer
David McGuinness
Description
Galaxy is an open, web-based platform for data intensive biological research that enables researchers to create, run, tune and share their own bioinformatic analysis.
The workshop will teach attendees the basics of Galaxy including:
- Understanding the user interface
- The various tools available
- How to create, extract and modify existing workflows
By the end of the course, you should be comfortable using Galaxy and can begin to work on your own data sets.
Course fee
£150
Cancellation policy
A refund will be issued if a booking is cancelled more than one week prior to the workshop.
Target group
These workshops are intended for researchers (graduate students, post-docs, fellows and PI's) who want to analyse their own NGS raw data using the Galaxy server.
Currently only open to University of Glasgow Staff and Students as the Galaxy used is hosted internally and you will need to access the server after the course has ended. If you would like to join from elsewhere please get in touch so we can discuss the best options for you.
Local Organiser
Rachael Munro, MVLS Shared Research Facilities
Registration and enquiries
Please provide a budget centre or PO number for the course fee and state which course you would like to register for.
Microbiome Data Analysis Workshop
Dates
26 and 27 November 2024
Times
Day 1: 0900-1600
Day 2: 0900-1600
Venue
Course will be held via Zoom and Moodle
Speaker
David McGuinness
Description
The composition of microbiomes helps us to understand a range of factors which influence health, how drugs work, health of livestock and the environment. This data analysis workshop will cover the fundamentals of microbiome analysis. In brief, it will cover the basics of sequencing using the Illumina platforms, including the methodology for generating libraries, the data files and their structure. Following this, the basics of the commandline interface with simple commands, followed by a more in-depth look at the Qiime software package and its use for analysing microbiome datasets. Finally, the attendees will be introduced to two different software tools: LefSe (biomarker analysis) and PiCrust (metabolomic analysis).
Intended Learning Outcomes
- Understand the next generation sequencing process and the resultant datafiles
- Be competent in basic commandline commands (cd, mv, rm, mkdir etc)
- Understand what the Qiime package is and how it is used
- Be able to use a simple Qiime pipeline to analyse a training dataset
- Be proficient in using LefSe and PiCrust to produce biomarker graphs and an initial metabolomic analysis based on the microbiome differences between factors
Course fee
£150
Cancellation policy
A refund will be issued if a booking is cancelled more than one week prior to the workshop.
Target group
Research students and staff who wish to deepen their understanding of high throughput data generation and analysis. It is anticipated that you have an understanding of the applications and uses of microbiomes in research and of next generation sequencing data. By the end of the course, you should be comfortable processing microbiome raw data and can begin to work on your own data sets.
Local Organiser
Rachael Munro, MVLS Shared Research Facilities
Registration and enquiries
Please provide a budget centre or PO number for the course fee and state which course you would like to register for.