Data Science Training Program
Wednesday, February 12, 2020

Alex Pico, PhD

Gladstone Institutes

Scooter Morris

UC San Francisco

The course will introduce the basic concepts of biological network analysis and provide practical instruction on commonly used tools and databases with a focus on Cytoscape to analyze and visualize biological networks. The course will comprise theoretical and practical sessions where course participants will learn how to perform different biological network analyses and how to visualize and interpret the results of such 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

No prior experience required. Target audience is biologists and bioinformaticians.

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

Details

Date
February 12, 2020
Time
1:00-5:00pm PT
Location
Mission Hall, Room 1406
Contact(s)





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, Room 1406

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.