About

Many of you who enjoyed the Collaboratory workshops have requested the opportunity to continue improving your computational skills beyond the workshop. We’re pleased to announce a new event for those with interest in computational and quantitative methods in biology: a Hackathon dedicated to solving problems of interest to our community, using Python.

Our idea is to organize a Hackathon over a single day, and spend this day solving a couple of coding problems. To ensure that these problems are of relevance to a large number of people, we are asking for everyone interested to submit suggestions of problems that you, or colleagues, may want help tackling. This is a great opportunity to get help with a problem you’re stuck on as we learn together how to overcome coding challenges. With a set of relevant problems, we can offer tailored assistance in advanced topics with Python, creating a stronger connection between the contents of our workshop and your research and going beyond the basic material provided by the current Collaboratory workshop. The hackathon is suitable for anyone who regularly uses or wishes to regularly use Python for their research, regardless of their level of expertise with programming. The only requirement is the Introduction to Python workshop.

To register, follow this link: https://goo.gl/forms/oAVIl67OUEBMkHaR2

For more resources, please visit: https://github.com/thmosqueiro/UCLA-Collaboratory_Hackathon

Who is this Hackathon intended for?

The hackathon is suitable for anyone who regularly uses or wishes to regularly use Python for their research, regardless of their level of expertise with programming. The only requirement is the Introduction to Python workshop.

Where & When?

December 8, 2017 from 9am – 5pm in the Collaboratory Classroom (Boyer Hall 529). Lunch will be served from 12pm – 2pm.

Registration and Contact Infromation

To register, follow this link: https://goo.gl/forms/oAVIl67OUEBMkHaR2

To ensure that the problems used in the Hackathon are of relevance to a large number of people, during the registration we ask for suggestions of problems that you, or colleagues, may want help tackling. These suggestions can be anything, and you don’t need to submit a solution, just a small description of the problem. Examples of types of problems: changing file format from one standard to another; automating a task or pipeline for many datasets; optimize the computation time of complex analyses and pipelines; applying basic methods of computer vision to segment images (e.g. for cell detection); building predictive models (e.g. using Machine Learning techniques); solving a model of ODEs to fit your data; etc.

For more information or to contact us, please send us an e-mail (no spaces!): th mosqu eiro @ ucla . edu

Coding Problems

We will post the list of problems to the following GitHub repository (no account needed): https://github.com/thmosqueiro/UCLA-Collaboratory_Hackathon