Back to All Events

Hands-on LC-MS Data Processing and Statistics 2025


Hands-on LC-MS Data Processing and Statistics 2025

  • When: March 24-28, 2025

  • Where: Hyatt House Davis 2750 Cowell Blvd., Davis, CA 95618, USA

  • Registration and Payment: here  students $2000 professionals $2500

  • Hotel booking if needed

  • Pre- Registration here

  • Email: Jeannette Martins jmartins@ucdavis.edu

  • Phone: +1-530-754-5357

  • Time Commitment: 8 hours per day

  • Pace: Instructor-led

  • Level: Intermediate, ideal for participants who acquire metabolomics data and understand data acquisition

Course Description:

This course will provide participants with a comprehensive, hands-on training experience involving the analysis of real-world untargeted metabolomics data. The course curriculum will encompass a wide range of topics including: 

  • LC-MS Data Processing: Gain proficiency in the processing of LC-MS data, a fundamental step in metabolomics analysis.

  • Compound Identification: Learn to identify compounds within complex datasets, employing advanced techniques and software.

  • Statistical Analysis: Master both multivariate and univariate statistical methods to extract meaningful insights from your data.

  • Pathway Mapping: Explore pathway mapping and enrichment analysis to uncover the biological context of your findings.

  • Hands-On Exercises: Participate in interactive exercises, assignments, and practical work in small groups, with expert guidance.

Upon completion of this course, participants will leave with:

  • Proficiency in LC-MS data processing techniques.

  • The ability to confidently identify compounds using cutting-edge cheminformatics software.

  • A strong foundation in multivariate and univariate statistical analysis for data interpretation.

  • The skill to perform pathway mapping and enrichment analysis, elucidating the biological significance of their findings.

  • Practical experience from hands-on exercises conducted with expert guidance in small breakout rooms

Previous
Previous
February 2

2025 Gordon Research Conference

Next
Next
April 29

Inaugural Predictive Phenomics Conference