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Mass spectrometry-based metabolomics introduction

The course will introduce MS-based metabolomics data, it's basic processing and the downstream analysis. The course will be a mix of lectures and hands-on session where we will perform the basic processing steps using metaboigniter, a nextflow workflow, and acore, short for analytical core for the downstream analysis.

Location

DTU Campus - Building 421

Auditorium A071 from 9.00 to 12.15

  • Introduction with overview of metabolomics and preprocessing
  • Steps in data processing and running metaboigniter (hands-on)

Auditorium A073 from 12.15 to 16.30

  • Lunch
  • Hands-on
    • Data cleaning, normalization and statistical analysis
    • Annotation and Interpretation

Agenda

Time Topic lecturer
09.00 - 09.10 Welcome, coffee, and setup -
09.10 - 10.30 Introduction with overview of metabolomics and preprocessing Maria Barranco-Altirriba
10.30 - 10.45 break -
10.45 - 12.15 Steps in data processing and running metaboigniter (hands-on) Henry Webel
12.15 - 13.00 Lunch (sandwiches are provided) -
13.00 - 13.45 Data cleaning, normalization and statistical analysis (lecture) Felicia Schulz
13.45 - 13.55 break -
13.55 - 14.40 Data cleaning, normalization and statistical analysis (Hands-On) Felicia Schulz
14.40 - 14.50 break -
14.50 - 15.35 Annotation and Interpretation (lecture) Maria Barranco-Altirriba
15.35 - 15.45 break -
15.45 - 16.30 Annotation and Interpretation (hands-On) Henry Webel

Some details to the agenda points

09.10-10.30 - Introduction with overview of metabolomics and preprocessing

See the slides for introduction: link

10.45-12.15 - Steps in data processing and running metaboigniter

Find the instruction here and the slides.

13.00 - 14.40 - Data cleaning, normalization and statistical analysis

See the slides for the statistical analysis: will be here

14.50 - 16.30 - Data cleaning, normalization and statistical analysis

Find the notebook here and the slides.

About

About Introduction to massspectrometry-based metabolomics (raw data processsing and downstream analysis).

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