University of Cambridge > Talks.cam > EMBL-EBI Hands On Training > A two-day dip into the EBI’s data resources: Understanding your data

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

A two-day dip into the EBI’s data resources: Understanding your data

Download to your calendar using vCal

If you have a question about this talk, please contact Janet Copeland .

As we move towards understanding biology at the systems level, access to large data sets of many different types has become crucial. Technologies such as genome-sequencing, microarrays, proteomics and structural genomics have provided ‘parts lists’ for many living organisms.

The EMBL -EBI maintains the world’s most comprehensive range of molecular databases. This course provides a broad introduction to EBI core resources and practical, trainer-guided demonstration of when, why and how to use them. Several resources will be covered spanning genomics to systems biology.

In addition to presenting practical information on the range of EBI resources and how to use these tools, this course aims to illustrate their applicability to research by using a range of case studies. In this way, use of the resources is presented with reference to biological questions.

This talk is part of the EMBL-EBI Hands On Training series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

https://ukri.zoom.us/j/95596949731; BAS seminar room 1 Average on weekdays: 9201.09028643 kWh Lecture Theatre, Jeffrey Cheah Biomedical Centre, Cambridge Biomedical Campus

Other talks

Title to be confirmed Not-so-noble gases, key tracers of Earth’s habitability: what their behaviour in planetary interiors can tell us? Title tbc Packing the Border: Quail Crates and the Regulation of Animal Movement on the US-Mexico Border, 1910s-1940s The elephant in the room: Machine Learning directly into physical models Group Work
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity