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#
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.