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PRODID:-//Metabolomics Society - ECPv6.15.20//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:Metabolomics Society
X-ORIGINAL-URL:https://metabolomicssociety.org
X-WR-CALDESC:Events for Metabolomics Society
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TZOFFSETFROM:+0000
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20181008T000000
DTEND;TZID=UTC:20181102T235959
DTSTAMP:20260511T230941
CREATED:20231117T154313Z
LAST-MODIFIED:20231117T154313Z
UID:5773-1538956800-1541203199@metabolomicssociety.org
SUMMARY:Metabolomics Data Processing and Data Analysis
DESCRIPTION: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. \nCourse Syllabus: \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\nProcessing of NMR data\nProcessing direct infusion mass spectrometry data\nProcessing liquid chromatography-mass spectrometry data\nReporting standards and data repositories\nData analysis\, detecting outliers and drift\, and pre-treatment methods\nUnivariate data analysis\nMultivariate data analysis (including unsupervised and supervised approaches)\nThe importance of statistical validation of results\nComputational approaches for metabolite identification and translation of results into biological knowledge\nWhat are the future challenges for data processing and analysis in metabolomics\n\nLevel: 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. \nFor further information and registration details\, please visit https://www.birmingham.ac.uk/facilities/metabolomics-training-centre/courses/Metabolomics-Data-Processing-and-Data-Analysis.aspx \nClick here to view additional Birmingham Metabolomics Training Centre courses.
URL:https://metabolomicssociety.org/event/metabolomics-data-processing-and-data-analysis-2/
LOCATION:Online\, Online
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