Our Mission

Science needs software that is open and comes with options.

Latest Post Using Python Decorators to Authenticate Google Cloud Functions by Rob Schaefer

Science needs software. In the past two decades, since the human genome was sequenced, the amount of data that has been generated related to biology and genetics is staggering. Genomes and accompanying functional data have been generated for hundreds of species of interest. The pace is not slowing. Benchtop and wet-lab technologies have come through on their end of the bargain -- scientists are now capable of generating terabytes of data from a single experiment. The bottleneck is now analysis.

We LOVE open source software

Linkage Analytics is a hybrid organization. We LOVE open source software, but we also need to keep the lights on.  

We are a small, mission based start-up and our goals are simple:

To develop useful, sustainable, free and open source software tools for the biological sciences. We aim to work closely with scientists who generate data in order to create code using the best and most computationally effective methods possible. We believe that code thrives in an open source environment and are committed to releasing our work under FOSS guidelines.

Our goal is to occupy the interface between biology and computer science. We believe that collaborative and interdisciplinary science is the future. We are actively seeking out and building collaborations in order to make an impact and help be the changers in the world.

Data Science as a Service (DSaaS)

Similar to our core mission, our business model is simple: we develop useful, open source, scientific software tools that are freely available for anyone to use. If you don't want to worry about running things yourself, want results in a timely manner, or just want to team up -- we offer data science as a service. We love working in small, tight knit collaborative groups, and excel at offering a wide variety of consulting services.