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Subject:

COURSE: Metabolomics Data Processing and Data Analysis

From:

David Epps <[log in to unmask]>

Reply-To:

David Epps <[log in to unmask]>

Date:

Wed, 12 Sep 2018 16:00:56 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (50 lines)

Good afternoon all, 

The below online course may be of interest to you or your networks. If anyone has any questions or queries, please do not hesitate to get in touch. 

Many thanks for your help and support. 

All the best,
David 

___

Metabolomics Data Processing and Data Analysis 
08 October 2018 - 02 November 2018 (access to materials available both during and after course run) 

This online course will explore the tools and approaches that are used to process and analyse metabolomics data, we will investigate the challenges that are typically encountered in the analysis of metabolomics data and provide solutions to overcome these problems. The course will be delivered using a combination of short videos, articles, discussions, and online workshops with step-by-step instructions and test data sets. We will provide quizzes, polls and peer review exercises each week, so that you can review your learning throughout the course. 

The material will be delivered over a four week period, with an estimated learning time of four hours per week. We will 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. In the final week of the course there will be a live question and answer session with the entire team of educators. 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. 

Course Syllabus:
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
Processing of NMR data
Processing direct infusion mass spectrometry data
Processing liquid chromatography-mass spectrometry data
Reporting standards and data repositories
Data analysis, detecting outliers and drift, and pre-treatment methods
Univariate data analysis
Multivariate data analysis (including unsupervised and supervised approaches)
The importance of statistical validation of results
Computational approaches for metabolite identification and translation of results into biological knowledge
What are the future challenges for data processing and analysis in metabolomics

Early-bird Cost: 220 GBP (expires 21 September 2018)
Registration Cost: 250 GBP

Course link: https://www.birmingham.ac.uk/facilities/metabolomics-training-centre/courses/Metabolomics-Data-Processing-and-Data-Analysis.aspx 

All the best, 
David Epps 
Research Support Administrator 
University of Birmingham 
[log in to unmask] 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.

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