This is an announcement of a new data analysis platform that we are developing.
We call the concept Bioinformatics Recipes. A demonstration version of the site is available at:
In a nutshell, it is a platform for deploying and sharing scripts on the web. We call these scripts recipes. See the:
The recipes may be written in bash, R, makefiles, or via any other workflow engine. In addition the software supports data management both for the input data and for the results generated when executing the recipes.
We envision labs and individuals running their own sites to maintain the custom functionality that they need. The project is supported by the US Fish and Wildlife Service and will be designed to support sequencing facilities needing to manage data and data analysis pipelines.
The code that runs the site is published via:
the data analysis recipes are stored separately in:
Additional links to docs:
Can you comment on how this differs from Galaxy and its workflows?
A few key differences:
Fundamentally the difference is in the philosophy of the approach.
Instead of championing a "standardized/centralized" approach - the recipe view recognizes, accepts and embraces that biology is complex and that we need to customize analyses.
The driving principle is that "we need to know what someone else did for the entire process" rather than having to piece that back together from individual tools. I ran tool A then ran tool B, then ran tool C.
A recipe is one, full, complete task from A to Z.