Exercise 'Protein Prediction II' for Computer Scientists
This is the main information exchange for the exercise 'Protein Prediction II' for Computer Scientists. The organisation, requirements and grading of the exercise is explained here by the mentors. All students will have one log in account and may add content to this wiki, if required by the mentors.
The exercise grade accounts for 60% of the final lecture grade. The grading will be based on your active participation in the exercises, as well as on the visualization component you will develop during the exercise, its clear and complete documentation, and the final presentation of the component to the group including Prof. Rost.
The mentors for the exercises will be:
- Juan Miquel Cejuela - a PhD student at RostLab, who is...
Our exercises will heavily benefit from the expertise and enthusiasm of:
- Sebastian Wilzbach - an awesome BioiInfo dude and a former student of GSoC
- David Dao - another awesome Computer Scientist dude and also a former student of GSoC ;))))
One of the biggest breakthroughs in life sciences has been the ability to sequence the genetic code of life - the DNA. As the sequencing techniques become cheaper and faster, the amount of biological data stored in our databases is increasing every day. The data does not come from sequencing experiments only, but also from many other technologies that are used to understand organisms and diseases at the systems level. It a challenge nowadays to integrate the variety of data in a meaningful and research facilitating way.
Schedule & Notes
D3 - Interactive Data Visualization for the Web, Scott Murray, O’Reilly (2013) Free online version
- Codecademy JS
- HTML & CSS