XCMS workshop 2017

Jan Stanstrup

@JanStanstrup
stanstrup@gmail.com

2017/06/25

Steno Diabetes Center Copenhagen, Denmark

Outline


  1. What does the data look like?
    Why pre-processing?
  2. Peak picking
  3. Grouping peaks
  4. Retention time correction
  5. Filling missing values

  6. Checking the results and troubleshooting
  7. Getting quick stats

The data used in this presentation was kindly provided by Drs. Richard and Nichole Reisdorph and their Mass Spectrometry Laboratory

This presentation and sample data can be found at github.com/stanstrup/XCMS-course

What does the data look like? Why pre-processing?


Why are we here and why do we need to do this?

What does the data look like? Why pre-processing?