BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Metabolomics Society - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Metabolomics Society
X-ORIGINAL-URL:https://metabolomicssociety.org
X-WR-CALDESC:Events for Metabolomics Society
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20190101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20200309T000000
DTEND;TZID=UTC:20200403T235959
DTSTAMP:20260413T081949
CREATED:20231117T193721Z
LAST-MODIFIED:20231117T193721Z
UID:5822-1583712000-1585958399@metabolomicssociety.org
SUMMARY:Metabolomics Data Processing and Data Analysis
DESCRIPTION:Overview\nThis 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. \nThe 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. \nTopics Covered \n\nAn introduction to metabolomics\nAn overview of the untargeted metabolomics workflow\nThe influence of experimental design and data acquisition on data analysis and data quality\nAn overview of processing NMR data\nProcessing direct infusion mass spectrometry data with a hands-on exercise\nProcessing liquid chromatography-mass spectrometry data with hands-on exercises\nReporting standards and data repositories\nData analysis\, detecting outliers and drift\, and pre-treatment methods\nUnivariate data analysis with a hands-on exercise\nMultivariate data analysis (including unsupervised and supervised approaches) with hands-on exercises\nThe importance of statistical validation of results\nComputational approaches for metabolite identification and translation of results into biological knowledge with hands-on exercises\nWhat are the future challenges for data processing and analysis in metabolomics\n\nCourse link: https://www.birmingham.ac.uk/facilities/metabolomics-training-centre/courses/2020/Metabolomics-Data-Processing-and-Data-Analysis.aspx
URL:https://metabolomicssociety.org/event/metabolomics-data-processing-and-data-analysis-4/
LOCATION:Online\, Online
END:VEVENT
END:VCALENDAR