Evidence map›Paper›PMID 30271575›Full record

ReviewF1000Research2018

Norwegian e-Infrastructure for Life Sciences (NeLS).

Kidane M Tekle, Sveinung Gundersen, Kjetil Klepper, Lars Ailo Bongo, Inge Alexander Raknes, Xiaxi Li, Wei Zhang, Christian Andreetta, Teshome Dagne Mulugeta, Matúš Kalaš and 12 more

Abstract readReview
In one paragraph

Review in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Kidane M TekleComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Sveinung GundersenUniversity of Oslo, Oslo, Norway.
Kjetil KlepperDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Lars Ailo BongoUniversity of Tromsø - The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-7544-2482
Inge Alexander RaknesUniversity of Tromsø - The Arctic University of Norway, Tromsø, Norway.
Xiaxi LiComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Wei ZhangComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Christian AndreettaComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Teshome Dagne MulugetaDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Matúš KalašComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.ORCID 0000-0002-1509-4981
Morten B RyeDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Erik HjerdeUniversity of Tromsø - The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-6014-1249
Jeevan Karloss Antony SamyDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Ghislain FornousUniversity of Oslo, Oslo, Norway.
Abdulrahman AzabUniversity of Oslo, Oslo, Norway.
Dag Inge VågeDepartment of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0003-2568-1554
Eivind HovigUniversity of Oslo, Oslo, Norway.
Nils Peder WillassenUniversity of Tromsø - The Arctic University of Norway, Tromsø, Norway.
Finn DrabløsDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-5794-828X
Ståle NygårdUniversity of Oslo, Oslo, Norway.
Kjell PetersenComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.
Inge JonassenComputational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway.ORCID 0000-0003-4110-0748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biological Science DisciplinesDatabase Management SystemsHigh-Throughput Nucleotide SequencingHumansInformation DisseminationInformation Storage and RetrievalNorwaycompute and storage infrastructureData management and sharingELIXIR Norwayfederated authenticationGalaxyintegration APImicroservices

Identifiers

PMID30271575
PMCPMC6137412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.