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.
- Where? When?
- Registration and contact
- Schedule
- Coding problems
- Who is this Hackathon intended for?
- Frequently asked questions
- Python Hackathon - Fall 2017
Our idea is to organize a Hackathon over a single day (December 8th, 2017), and spend this day solving a set of coding problems. These coding problems will consist of common issues faced by many of us in our research. Collaboratory fellows will be present throughout the whole day to provide personal and tailored assistance. We will encourage every participant to go in their own pace and speed. Collaborative work in groups is also encouraged.
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 languages. The only requirement is the Introduction to Python workshop.
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This Hackathon will be hosted by the QCBio Collaboratory.
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Slides presented at the beggining of the Hackathon.
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For more information or to contact us, please send us an e-mail: thmosqueiro@ucla.edu
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Want to make comments that are visible to everyone in the Hackathon? We can use our Issues page to share general comments and questions relevant to everyone. You'll need an account (takes 2 minutes to create one!), but no knowledge of git is required.
- Date: February 23rd, 2018
- Where: Collaboratory Classroom (Boyer Hall 529), Institute for Quantitative and Computational Biology, UCLA
- What time: between 9:30AM and 5:00PM
- Lunch will be served between 12:30 and 2PM
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.
Here is a tentative schedule:
| Time | Event |
|---|---|
| 9:30 - 10:00 | Quick presentation about the Hackahton and overview of the problems |
| 10:00 - 12:30 | First coding session |
| 12:30 - 2:00pm | Lunch while coding |
| 2:00 - 3:30 | Second coding session |
| 3:30 - 4:00 | Final remarks and discussions about the future |
During the Hackathon, we will be solving together the following problems. You should feel free to participate in as many problems you want. The list of problems may be updated until the date of the event.
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Analysis of calcium imaging. We will use videos of fluorescent calcium indicator Oregon Green in endothelial cells to practice how to extract fluorescence time series of a set of cells and estimate their calcium concentration.
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Job monitoring system for hoffman2. We started a simple project to help people monitor jobs submitted to hoffman2. Come help us build this tool to learn about Python and Unix. Contributors may receive co-authorship in a possible upcoming publication of this software.
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To be announced. The third problem will be announced soon.
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. Read more about this in our Frequently asked questions.
This event is sponsored by the QCBio Collaboratory, and was organized by the following fellows: