General Information
| Description | Python library for massively parallel workflows |
| Homepage | http://lpm.hms.harvard.edu |
Publications
COSMOS: Python library for massively parallel workflows
Summary:
Efficient workflows to shepherd clinically generated genomic data through the multiple stages of a next-generation sequencing pipeline are of critical importance in translational biomedical science. Here we present COSMOS, a Python library for workflow management that allows formal description of pipelines and partitioning of jobs. In addition, it includes a user interface for tracking the progress of jobs, abstraction of the queuing system and fine-grained control over the workflow. Workflows can be created on traditional computing clusters as well as cloud-based services.
Availability and implementation:
Source code is available for academic non-commercial research purposes. Links to code and documentation are provided at http://lpm.hms.harvard.edu and http://wall-lab.stanford.edu .
Contact:
dpwall@stanford.edu or peter_tonellato@hms.harvard.edu .
Supplementary information
: Supplementary data are available at Bioinformatics online.
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