• Event
  • Scientific training

Signalling Networks: From Data to Modelling

This course provides an introductory overview about the most useful resources and tools to investigate signalling pathways and network, and also to introduce basic approaches to model signalling events.

Start date:

01 April 2019

End date:

05 April 2019

Time:

09h30 - 17h00

Venue:

Earlham Institute

Registration deadline:

25 February 2019

Cost:

£300 excluding accommodation

About the event.

What is the course about?

Signalling pathways and networks are very important to regulate and control cellular processes, cell fate, and their malfunctions often lead to diseases, such as cancer or diabetes. This course provides an introductory overview about the most useful resources and tools to investigate signalling pathways and network, and also to introduce basic approaches to model signalling events. Hands-on trainings will give a wide overview on tools and concepts related to signalling networks.

What will I Learn?

In this course you will learn how to use Cytoscape, where to find the most reliable signalling data, how to reconstruct, analyze and visualize a network. You will also learn how to develop your own models, mostly with logic modeling, what other modeling approaches exist, and how you can apply a model for your own research work.

Course Prerequisites

No programing skills and modeling background are required. Knowledge on biological systems, especially signalling is desirable but not essential.

Target Audience

Graduate students, post-doc, group leaders with interest to understand the resources and tools to reconstruct signalling pathways and networks and use omics data to model them with different approaches. The course could be useful for modelers coming with non-signalling background, and experimental bench biologist who would like to develop small but useful models for their own system.

Programme.

Day 1 - 01 April 2019

Time

Topic

12:00 - 13:00

Lunch and registration

13:00 - 13:30

Welcome and introduction

13:30 - 14:30

Keynote lecture

14:30 - 15:00

Coffee

15:00 - 16:00

Flash presentations from delegates

16:00 - 17:00

Speed dating

Day 2 - 02 April 2019

Time

Topic

09:00 - 09:30

Coffee

09:30 - 10:30

Working with signalling networks - why and how?

10:30 - 11:00

Coffee

11:00 - 12:00

Resources and standards for studying signalling interactions

12:00 - 13:00

Lunch

13:00 - 14:30

Data Analysis with Cytoscape

14:30 - 15:00

Coffee

15:00 - 17:00

Advanced analysis and visualisation with Cytoscape

Day 3 - 03 April 2019

Time

Topic

09:00 - 09:30

Coffee

09:30 - 09:45

Recap of day 1

09:45 - 10:45

Signalling pathway cross-talk and visualisation

10:45 - 11:00

Coffee

11:00 - 12:00

Extending pathways to networks

12:00 - 13:00

Lunch

13:00 - 14:30

Integrating omics data to signalling networks and functional analysis

14:30 - 15:00

Coffee

15:00 - 17:00

Hands-on with Cytoscape and own data

Day 4 - 04 April 2019

Time

Topic

09:00 - 09:30

Coffee

09:30 - 09:45

Recap of day 3

09:45 - 10:45

Lecture: From literature curated signalling networks to boolean models

10:45 - 11:00

Coffee

11:00 - 12:30

Hands-on session: Using pypath and CellNOpt

12:30 - 13:30

Lunch

13:30 - 14:30

Systematic functional analysis and integration of quantitative multi-omic datasets

14:30 - 15:00

Coffee

15:00 - 17:00

Hands-on: VSN, Combat, LIMMA, PIANO, Progeny, PHONEMES, KINACT, DOROTHEA

18:30 - 22:00

Course dinner - Trattoria Rustica

Day 5 - 05 April 2019

Time

Topic

08:30 - 09:00

Coffee

09:00 - 09:15

Recap of day 4

09:15 - 10:30

Discussion and work with own data

10:30 - 11:00

Coffee

11:00 - 12:30

Discussion and work with own data

12:30 - 13:00

Wrap up and final Q&A

13:00 - 14:00

Lunch and departure

Further information.

Registration includes lunch and refreshments, plus access to the training materials and the course dinner on Thursday evening.

Fees and accommodation.

Limited accommodation is available at Broadview Lodge, UEA at an additional cost of £68.40 per night including breakfast.

  • Register today.

Registration deadline: 25 February 2019

Participation: Open application with selection process

Related reading.