HUB4 communicating bioinformatics
Sign up here if you plan to attend the meeting!
What? Meet fellow bioinformaticians in Heidelberg, and discuss Communicating Bioinformatics
When? Thursday January 24th, 2013, 19.00 - 21.00
How? This time we will feature an interactive workshop run by EMBO Reports editor Sam Caddick called 'Making Science Make Sense'. During the workshop you can learn about communicating your research to the public – and also share your own experiences and thoughts on identifying audiences, communicating research and why (or why not) you might get involved in communication – and any other topics that you would like to discuss.
There will also be a return of 'flash talks' – very short presentations on a topic you find interesting. If you have something that you would like to present to fellow bioinformaticians, please put your idea forward ahead of the meeting. .
Who is coming? Check out the list of registered participants
|19:00||Arrival, welcome and introduction to an organisation doing bioinformatics:
Chris Schneider from Sanofi-Aventis in Frankfurt
|19:10||Where do you stand within the bioinformatics society - networking exercises with all participants.|
|19:30||'Making Science Make Sense' workshop with EMBO Reports editor Samuel Caddick (see notes)|
|20:30||2 x Flash Talks (TBA)|
|20:45||Final thoughts and planning for HUB5|
|21:00||Hub to the pub (Marstall)|
Propose a Flash Talk
The list of flash talks are here.
Please take a look at the Guidelines.
Fitting high throughput data to a Boolean network model
- Guy Karlebach
- DKFZ - Heidelberg
- Fitting between a high throughout dataset and a Boolean network model is an interesting problem with practical implications. In this flash talk I define the problem, analyze its complexity and present an algorithm for it.
- The talk is based on the following paper
PhenoTimer: connecting time-resolved phenotypes
- Maria Secrier
- Connecting genetic and phenotypic information in the context of temporal variation is an ongoing challenge in systems biology. I will introduce PhenoTimer, a visualization tool for mapping time-resolved phenotypic links in a genetic context. Its capabilities in discovering dynamic regulatory patterns within the cell cycle and potential in identifying links between diseases will be illustrated.