Using the Nextflow framework for reproducible in-silico omics analyses across clusters and clouds
1
Center for Genomic Regulation (CRG), Barcelona, Spain
2
Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Published
- Accepted
- Subject Areas
- Bioinformatics
- Keywords
- bionfomatics, pipeline, workflow, docker, container, reproducibility
- Copyright
- © 2017 Di Tommaso et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Using the Nextflow framework for reproducible in-silico omics analyses across clusters and clouds. PeerJ Preprints 5:e2796v1 https://doi.org/10.7287/peerj.preprints.2796v1
Abstract
Reproducibility has become one of biology’s most pressing issues. This impasse has been fuelled by the combined reliance on increasingly complex data analysis methods and the exponential growth of biological datasets. Nextflow is a pipeline orchestration tool that has been designed to ease deployment and guarantee reproducibility across platforms. It allows the seamless parallelization and deployment of any existing application with minimal development and maintenance overhead, irrespective of the original programming language. These capabilities guarantee consistent results over time and across different computing platforms.
Author Comment
This poster was submitted to CHARME / EMBnet / NETTAB 2016 Workshop.