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F1000Res. 2018 Jun 29;7. pii: ELIXIR-968. doi: 10.12688/f1000research.15119.1. eCollection 2018.

Norwegian e-Infrastructure for Life Sciences (NeLS).

Author information

1
Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
2
University of Oslo, Oslo, Norway.
3
Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
4
University of Tromsø - The Arctic University of Norway, Tromsø, Norway.
5
Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.

Abstract

The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is available through easy-to-use web interfaces, including the Galaxy workbench for data analysis and workflow execution. Users confident with a command-line interface and programming may also access it through Secure Shell (SSH) and application programming interfaces (APIs).  NeLS has been in production since 2015, with training and support provided by the help desk of ELIXIR Norway. Through collaboration with NorSeq, the national consortium for high-throughput sequencing, an integrated service is offered so that sequencing data generated in a research project is provided to the involved researchers through NeLS. Sensitive data, such as individual genomic sequencing data, are handled using the TSD (Services for Sensitive Data) platform provided by Sigma2 and the University of Oslo. NeLS integrates national e-infrastructure storage and computing resources, and is also integrated with the SEEK platform in order to store large data files produced by experiments described in SEEK.   In this article, we outline the architecture of NeLS and discuss possible directions for further development.

KEYWORDS:

Data management and sharing; ELIXIR Norway; Galaxy; compute and storage infrastructure; federated authentication; integration API; microservices

PMID:
30271575
PMCID:
PMC6137412
DOI:
10.12688/f1000research.15119.1
[Indexed for MEDLINE]
Free PMC Article

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