What is the Wasp System?
Wasp is foundational software for big data in modern biology, focusing initially on the management and analysis of data from massively-parallel sequencing (MPS) of DNA.
Unlike other biological software, Wasp is engineered as a system, integrating components to create workflows, allowing complex tasks to be streamlined and automated.
Wasp is written in Java leveraging the Spring framework, and is thus not only enterprise-level but is also open source and completely customizable.
Wasp is grid-enabled to allow the software to act as middleware, providing a gateway to XSEDE grid computing resources.
Learn more about how Wasp takes advantage of the Spring framework.
Distributed development of WASP
Our underlying belief is that no individual, team or even institution can or should deliver a universal software solution, as the complexity of the requirements is too great, given the diversity of experimental questions, assays, platforms and analytical approaches.
We are therefore making the Wasp system free to all interested users, who will be encouraged to develop modular plug ins -- the development of analytical modules that work within Wasp to analyze specific types of assay data generated in their institution.
Code development will be hosted by the Wasp development group, who will test it for compatibility with the upcoming WASP release and help the user to debug code.
In return for this support with forward compatibility, the plug in developer will agree to allow their tools to be shared by the WASP user community, while retaining any software copyright.
We have also set up a forum for learning more about the Wasp System, where you will be able to interact with other Wasp System developers.
We have a demo version of the system running for exploration. It is updated every night with the latest version of the system software.
We host the core system and existing plug ins at the Einstein Github resource. This resource is also where we will host plug ins while in development.
Early test partners for the Wasp System include Memorial Sloan-Kettering Cancer Center, New York University and University of California San Diego.
If you would like to learn more about Wasp, or get access to the software, please contact us.
Review of Wasp Big Data in Modern Biology
Publication: The Einstein Genome Gateway using WASP - a high throughput multi-layered life sciences portal for XSEDE.
Tumblr blog posting about Wasp by EpgntxEinstein
For updates, follow @waspsystem on Twitter