loom workflow engine
What is loom?
Loom is a tool to create and execute bioinformatics workflows.
We observed that many bioinformaticians are doing analysis in a way that is not repeatable or traceable, and that cannot be easily migrated to a new compute environment. For example:
- Depending on local software installations and environment settings
- Executing commands manually
- Failing to record analysis details and results in a database
- Depending on file names and paths that may change and cannot be verified
Loom is designed as an easy-to-use analysis platform that remedies these problems to make analysis repeatable, your results traceable, and your workflows portable to other platforms.
Why use loom?
Make your analysis pipelines portable
- Loom uses Docker to make your pipelines platform-agnostic and to avoid using local software installations or environment settings
- The same pipelines can be run in the cloud, on a local cluster, or on your laptop
- Loom will seamlessly pull data from your local path, a remote file server, or an object store
Keep your data secure
- Loom lets you run all your analysis with encryption of data in transit and at rest
Make sure your analysis is repeatable
- The same features that make loom sharable help to ensure repeatability: input files are verified with a cryptographic hash, and applications are stored in Docker containers that can be verified by image ID
- Analyses and results are recorded in a persistent database
Never lose track of how a result was generated
- When answering questions like “Where did this file come from?”, “What software version did we use to produce this result”, or “What settings did we use for this?”, you should never be scrambling through your notes or digging through output logs. Loom keeps track of result provenance and can tell you all the steps that were performed from import of the original input data to producing the final result.
What is the current status?
Loom is under active development. To get involved, contact email@example.com
- Nathan Hammond
- Isaac Liao
- Ziliang Qian