Repository logo
 
No Thumbnail Available
Publication

NGSPipes: fostering reproducibility and scalability in biosciences

Use this identifier to reference this record.
Name:Description:Size:Format: 
NGSPipes_fostering_JSimao_ADEETC.pdf716.13 KBAdobe PDF Download

Advisor(s)

Abstract(s)

Biosciences have been revolutionised by NGS technologies in last years, leading to new perspectives in medical, industrial and environmental applications. And although our motivation comes from biosciences, the following is true for many areas of science: published results are usually hard to reproduce, delaying the adoption of new methodologies and hindering innovation. Even if data and tools are freely available, pipelines for data analysis are in general barely described and their setup is far from trivial. NGSPipes addresses these issues reducing the efforts necessary to define, build and deploy pipelines, either at a local workstation or in the cloud. NGSPipes framework is freely available at http://ngspipes.github.io/.

Description

Keywords

Scientific workflows Reproducible science Domain specific languages Decentralised computing

Citation

DANTAS, Bruno; [et al] – NGSPipes: fostering reproducibility and scalability in biosciences, In ACM-BCB '17 Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics. Boston, Massachusetts, USA: ACM-BCB`17, 2017. ISBN: 978-1-4503-4722-8. Pp. 603-603

Research Projects

Organizational Units

Journal Issue

Publisher

Association for Computing Machinery

CC License

Altmetrics