Data Science Training Program
Friday, February 17, 2023

Alex Pico, PhD

Research Investigator, Director, Bioinformatics Core

Join this course for an introduction to the basic concepts of biological network analysis and practical instruction on commonly used tools and databases, with a focus on Cytoscape to analyze and visualize biological networks. 

The course consists of theoretical and practical sessions in which you’ll learn how to perform different biological network analyses and how to visualize and interpret the results of your analyses.

By the end of this course you will be able to:

  • Understand the major applications of network biology
  • Find relevant sources for networks and pathways
  • Import your data into Cytoscape
  • Perform network layouts and data visualization
  • Know where to find relevant Cytoscape apps and tutorials

Bring your laptop. Instructions on installing Cytoscape will be provided prior to the course.

Visit the workshop site for more details and materials
This is an introductory workshop in the Network Analysis and Visualization series. No prior experience required. No prerequisites.


February 17, 2023
2:00-5:00pm PST

Mission Hall

The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.

Getting There

Mission Hall

Diversity, Equity, and Inclusion

At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.

We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.