COSMOS: Python library for massively parallel workflows.
Bioinformatics
; 30(20): 2956-8, 2014 Oct 15.
Article
en En
| MEDLINE
| ID: mdl-24982428
ABSTRACT
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.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Lenguajes de Programación
/
Genómica
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Secuenciación de Nucleótidos de Alto Rendimiento
Idioma:
En
Año:
2014
Tipo del documento:
Article