Short webinar: Introduction to Data Analysis, Visualization and Computational Biology with MATLAB

  • Start: Feb 9, 2021 13:00
  • End: Feb 15, 2021 15:30
  • Speaker: Philip Laserstein
  • Dr. Philip Laserstein is part of the Academic Customer Success team at MathWorks, which helps academics integrate MATLAB and Simulink in their teaching and research. Prior to his role at MathWorks, Philip was working as a Neuroscience PhD student at the Max-Planck Institute for Brain Research in Frankfurt where he was exploring the biological structures of neuronal networks in mammalian brains. 
  • Location: online
  • Host: Kirsten Kelleher
  • Contact: kelleher@molgen.mpg.de
Short webinar: Introduction to Data Analysis, Visualization and Computational Biology with MATLAB
The webinar is tailored for researchers who want to learn about or get up to speed with programming and Computational Biology.

To register for this short webinar, please go to this website and register there.


In this webinar you will be introduced to MATLAB, a high-level language and interactive environment for numerical computation, visualization, and programming. After a quick theoretical introduction, you will learn how to import and access data, pre-process and clean-up data, visualize and analyze your data easily. By using interactive notebook-style live scripts, you will learn how to quickly explore ideas, gain insight into your data, and document and share your results with other researchers. In the second part of the webinar you will learn about MATLAB capabilities for Computational Biology. By using a practical example, you will learn how to visualize and analyze NGS data in MATLAB. Finally, we will introduce tools for dynamical modelling of biological systems.

No prior programming experience is required.


Highlights


  • Import and access your data
  • Pre-process and explore your data
  • From code to reusable workflows
  • Visualize data and customize figures
  • Computational biology in MATLAB
  • NGS visualization and analysis
  • Dynamical modelling in Systems Biology


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