Office of Technology Transfer – University of Michigan Crowd Sourced Publication database and Modeling of Working-hypotheses

Technology #6130

Described here is a crowd-source developed website which graphically displays interactions between molecules and genes all of which are user edited. The website will allow for self-publishing of new data along with linking and organizing data which has already been published. This software will allow for rapid development of novel hypothesis focusing on cell signaling, systems biology, and genetics. The easy to use features and rapid learning curve will allow the crowd sourced features to develop quickly and intricately. In the last decade the field of bioinformatics has exploded generating endless data which can typically only be accessed by the investigators who created it or scientists trained in bioinformatics. This software will make available complex data in a user friendly format which will build upon itself as users add and edit information.

A crowdsource developed molecular interaction database

A growing trend in business and information is the idea of crowdsourcing. Allowing users to create, edit, add, or delete data which constantly evolves. Wikipedia is a prime example of crowdsourced informatics. In the biological sciences the amount of data generated over the past two decades which new technologies like gene sequencing has exploded. Inventors at The University of Michigan have created a website which allows users to upload their own data or organize data which is already available through published sources onto graphically modeled systems which can be linked together to generate complex interaction networks. These networks will aid in hypothesis generation, data organization, and self-publishing. As the number of users uploading data grows the information becomes more complex and builds upon itself. Although network databases like this have been developed they are often limited by what has been published at the time the software was written rather than constantly evolving as scientists develop new techniques and novel data to add to the complex network.


  • Reference database
  • Hypothesis generator
  • Self-publishing


  • Crowdsourced
  • Up-to-date data
  • Graphic interface