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Metabolomics Data Processing and Data Analysis
February 1 - February 26£250
This online course explores the tools and approaches that are used to process and analyse metabolomics data. You will investigate the challenges that are typically encountered in the analysis of metabolomics data, and provide solutions to overcome these problems.
The materials in this course are delivered via the FutureLearn platform over a four week period, with an estimated learning time of four hours per week. Each week you will work through a number of steps to complete the learning material. A step may include a short video, an article, an exercise with step-by-step instructions, a test or a discussion to interact with your peer or the educators. All of the course material is uploaded to the FutureLearn platform so that you can complete the steps at a convenient time for you.
We (the educators) support your learning via social discussions where you will be able post questions and comments to the team of educators and the other learners on the course throughout the 4 weeks.
In the final week of the course there is a question and answer session with our educators. You will be provided with information to join the question and answer session via the FutureLearn platform and you can post questions in advance. The question and answer session will be recorded and a video uploaded to the FutureLearn platform.
If you do not have time to complete the course during the 4-week period you will retain access to the course material to revisit, as you are able.
- An introduction to metabolomics
- An overview of the untargeted metabolomics workflow
- The influence of experimental design and data acquisition on data analysis and data quality
- An overview of processing NMR data
- Processing direct infusion mass spectrometry data with a hands-on exercise
- Processing liquid chromatography-mass spectrometry data with hands-on exercises
- Reporting standards and data repositories
- Data analysis, detecting outliers and drift, and pre-treatment methods
- Univariate data analysis with a hands-on exercise
- Multivariate data analysis (including unsupervised and supervised approaches) with hands-on exercises
- The importance of statistical validation of results
- Computational approaches for metabolite identification and translation of results into biological knowledge with hands-on exercises
- What are the future challenges for data processing and analysis in metabolomics?
Software used during the course
- Galaxy to process direct infusion mass spectrometry data
- XCMS online to process liquid chromatography-mass spectrometry data
- MetaboAnalyst in the univariate and multivariate data analysis exercises
- Metabolite annotation using PUTMEDID_ID operating in the Taverna workflow environment
The course would be ideally suited to MSc / PhD students or scientists who are in the early stages of analysing metabolomics data. No previous knowledge of the data processing and statistical analysis approaches is assumed, but a basic understanding of the metabolome and the analytical techniques applied in the metabolomics field would be beneficial. A pre-course recommended reading list will be provided.
Online Course Platform Information
Joining the Course
- This course is hosted in online learning environment FutureLearn
- We will need to share your email with FutureLearn in order to register you for this course
- After registering via our online shop, you will receive an email with a course link to join. If you do not received this email within a week of your registration, please contact us: firstname.lastname@example.org
- If you have not joined a course on FutureLearn before you will need to register for an account to join the course. You must join the course before the end of the course run otherwise you will not be able to join the course. We cannot re-issue the invitation after the course run finishes.
- Registration is open until the last day of the course run at 5pm, London UK time
- After registration closes, we are unable to issue invitations to delegates to join the course
- Course materials and discussion boards will be maintained and monitored by Educators until the end of the course run
- As BMTC Alumni, you are able to email us at any time (even after the course finishes) to discuss any problems / issues you are having with your metabolomics investigations: email@example.com