Congratulations to all of the winners and thanks to everyone for participating!

NanoString’s GeoMx® DSP stands at the powerful intersection of tissue imaging technology and genomic sciences.  It enables investigators to finely dissect the fundamental features of any tissue and ask critical questions concerning tissue organization, cellular interactions, and disease pathology.  In the Spatial Omics Hackathon, data enthusiasts will use data from the GeoMx platform with your favorite dev tools to build smarter solutions to develop insights into kidney disease.

You might create a graphical representation of data through visual components such as maps, graphs, or other visual formats (e.g. tools that display trends or patterns). You could create data analysis solutions that collect, interpret, and present data (e.g. tools that identify relationships or detect anomalies). Put your Machine Learning skills to good use and build solutions that use pre-trained models or train a model using the specific dataset.

What to Build: 

Build an open source solution that can help scientists interpret data and learn new things from a large kidney dataset assembled by NanoString’s GeoMx Digital Spatial Profiler.

What to Submit: 

⦿ Provide a URL to your publicly available code repository for judging and testing. 

⦿ Include one of the non-copyleft OSI-approved open source licenses (https://opensource.org/licenses), such as Apache, BSD, or MIT, and include the license in the publicly accessible code repository.

⦿ Include a video (about 3 minutes) that demonstrates your submission. Videos must be uploaded to YouTube, Vimeo, or Facebook Video and made public.

$25,000 in prizes

• Quality of the Idea
  Includes creativity and originality of the idea.
• Implementation of the Idea
  Includes how well the idea was executed by the creators.
• Potential Value to Scientists
  Includes the extent to which the solution can help biologists and scientists navigate and learn from the available data.