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NeLS

Analysis, sharing, and secure storage for high-throughput genomics and life science data.

Solution by ELIXIR Norway
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Overview

The Norwegian e-Infrastructure for Life Sciences (NeLS) is a national portal for the analysis, sharing, and midterm storage of non-sensitive molecular life science data. Coordinated and developed by the ELIXIR Norway Bergen node, NeLS is intended for researchers who need to store and share high-throughput genomics and other life science datasets with collaborators both within and outside Norway, in support of open science principles.

NeLS is designed to facilitate FAIR data practices and provides a structured environment for managing research data across projects. Access is available through institutional credentials via the NeLS portal.

Key Features

  • Midterm data storage — secure storage for non-sensitive high-throughput genomics and other life science data
  • Data sharing — share datasets with national and international collaborators
  • Analysis tools — integrated tools and Galaxy integration for genomic data analysis
  • Open science support — designed to facilitate FAIR data practices and open data sharing
  • Project management — organise data by projects and connect with collaborators through the portal

Getting Started

  1. Visit the NeLS portal and log in with institutional credentials
  2. Create a project and upload datasets
  3. Share data with collaborators by granting project access
  4. Use integrated analysis tools or connect to Galaxy for workflow-based analysis

NeLS is operated by ELIXIR Norway and focuses on non-sensitive life science data. It integrates with Galaxy to support genomic analysis workflows and is accessible to researchers through the NeLS portal.

Meta

Domain
Genomics & Omics Analysis
Subdomain
Genomics Data Infrastructure & Collaboration
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
BiotechAcademic / Research
Development stage(s)
Research & Discovery
Target user(s)
Research ScientistBioinformatician / Computational ScientistIT / Systems Admin / Data Engineer