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2024-12-27
Registration
Webinar #24: Skyline for Lipidomics
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Registration


Dear Skyline Users,

Join us for an all new online webinar on Tuesday, December 3, 2024 at 8:00am (Pacific Time). This webinar will explore the ways to optimize your Lipidomics research with Skyline.

Webinar #24: Skyline for Lipidomics

Register Now!

When:  Tuesday, December 3, 8am (Pacific Time)
- plan for 1 hour presentation + 1/2 hour Q&A

  • Skyline workflow for small molecules
  • Focus on lipidomic data
  • Analysis of PRM data
  • Relative quantification using global standard

This webinar will include an introduction from Brendan MacLean, Skyline Principal Developer, and a tutorial walk-through presentation from Michele Wölk, Skyline for targeted lipidomics. Michele is a postdoctoral researcher in the lab of Maria Fedorova at TU Dresden where she is focusing on lipidomics method development and analysis.

Join us, learn and help us to better meet your research needs using the Skyline for Lipidomics.

--Skyline Team

  Presenters

Brendan MacLean
(Principal Developer)


Michele Wölk

Michele Wölk
(Lipidomics Researcher)

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Review slides, written tutorial and data set presented at the webinar.




Webinar #24: Skyline for Lipidomics


In our second 2024 webinar, participants joined Brendan MacLean (Skyline Principal Developer) and Michele Wölk (Lipidomics Researcher) as they presented the latest tutorial in Skyline, Skyline For Lipidomics.

Michele provided hands-on demonstrations of Lipidomics data analysis and walked through a number of Skyline's features to get the most out of the tutorial data.

The webinar concluded with a great Q&A session which gave both Michele and Brendan a chance to demonstrate their expertise even further and talk about present and future capabilities of Skyline.

-- the Skyline Team

Brendan MacLean
(Principal Developer)

   

   
Presentation Slides

 

   

Michele Wölk 
(Lipidomics Researcher)

   

Presentation


Tutorial
 

Data
(342 MB)
     

Review Webinar 23

Using Skyline Live Reports
Review slides, written tutorial and data set presented at the webinar.


   




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