A Python DSL for bioinformatics pipelines
Project description
A Python DSL for pipelines
Don't Repeat Yourself (D.R.Y) while writing pipelines, and stay away from leaky abstractions, use DryPipe !
What is a pipeline ?
A pipeline could be described as "a bunch of programs feeding data to one another".
Programs within a pipeline tend to:
- run for a long time
- need large amounts of resources (cpu, memory, disk space, etc), requiring clusters to run (Slurm, Torque,etc)
- be written in different languaged, have different CLI interfaces, file formats, etc.
- long CODE->RUN->DEBUG->CODE cycles
The length of the debug cycle makes pipelines difficult to debug.
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