When you want to get to know and love your data

Posts tagged “west coast metabolomics center

Metabolomics and Beyond: Challenges and Strategies for Next-gen Omic Analyses

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Recently I had the pleasure of giving lecture for the Metabolomics Society on Challenges and Strategies for Next-gen Omic Analyses. You can check out all of my slides and video of the lecture below.


2014 Metabolomic Data Analysis and Visualization Workshop and Tutorials

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Recently I had the pleasure of teaching statistical and multivariate data analysis and visualization at the annual Summer Sessions in Metabolomics 2014, organized by the NIH West Coast Metabolomics Center.


Similar to last year, I’ve posted all the content (lectures, labs and software) for any one to follow along with at their own pace. I also plan to release videos for all the lectures and labs including use cases for the freely available data analysis software listed below.


You can check out the introduction lecture to the covered material below.



New additions to the course include lecture and lab on Data normalization and updated and improved software.


Software


Stay tuned for videos of all of the material!

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2014 Metabolomics Data Analysis and Visualization Tutorials Dmitry Grapov is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


Sessions in Metabolomics 2013

The international summer sessions in metabolomics 2013 came to a happy conclusion this past Friday Sept 6th 2013.  I had the pleasure of teaching the topics covering metabolomic data analysis. The class was split into lecture and lab sections. The lab section consisted of a hands on data analysis of:

  • fresh vs. lyophilized treatment comparison for tomatillo  leaf primary metabolomics
  • tomatillo vs. pumpkin leaf primary metabolites

The majority of the data analyses were implemented using the open source software imDEV and Devium-web.

Download the FULL LAB. Take a look at the goals folder for each lesson.  You can follow along with the lesson plans by looking at each subsections respective excel file (.xlsx). When you are done with a section unhide all the worksheets (right click on a tab at the bottom) to view the solutions .

The lectures, preceding the lab, covered the basics of metabolomic data analysis  including:

  • Data Quality Overview and Statistical Analysis
  • Multivariete Data analysis
  • Metabolomic Case Studies