BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260615T190642Z
UID:3ea549cd-fe11-4e04-859d-a6a2ef5d7d88
DTSTART:20210607T090000Z
DTEND:20210702T235900Z
DESCRIPTION:#Content Overview\nThis online course explores the tools and ap
 proaches 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. \
 n\n#Topics Covered\n* An introduction to metabolomics\n* An overview of th
 e untargeted metabolomics workflow\n* The influence of experimental design
  and data acquisition on data analysis and data quality\n* An overview of 
 processing NMR data\n* Processing direct infusion mass spectrometry data w
 ith a hands-on exercise\n* Processing liquid chromatography-mass spectrome
 try data with hands-on exercises\n* Reporting standards and data repositor
 ies\n* Data analysis\, detecting outliers and drift\, and pre-treatment me
 thods\n* Univariate data analysis with a hands-on exercise\n* Multivariate
  data analysis (including unsupervised and supervised approaches) with han
 ds-on exercises\n* The importance of statistical validation of results\n* 
 Computational approaches for metabolite identification and translation of 
 results into biological knowledge with hands-on exercises\n* What are the 
 future challenges for data processing and analysis in metabolomics\n\n#Sof
 tware used during the course\n* Galaxy to process direct infusion mass spe
 ctrometry data\n* XCMS online to process liquid chromatography – mass sp
 ectrometry data\n* MetaboAnalyst in the univariate and multivariate data a
 nalysis exercises\n* Metabolite annotation using PUTMEDID_ID operating in 
 the Taverna workflow environment\n\n#Level \nThe course would be ideally s
 uited to MSc / PhD students or scientists who are in the early stages of a
 nalysing metabolomics data. No previous knowledge of the data processing a
 nd statistical analysis approaches is assumed\, but a basic understanding 
 of the metabolome\, and the analytical techniques applied in the metabolom
 ics field would be beneficial. A pre-course recommended reading list will 
 be provided.
SUMMARY:Metabolomics Data Processing and Data Analysis
URL;VALUE=URI:https://www.birmingham.ac.uk/facilities/metabolomics-training
 -centre/courses/2021/metabolomics-data-processing-and-data-analysis-june-2
 021.aspx
END:VEVENT
END:VCALENDAR