News » Research & Development

The NGI runs internal research & development projects to establish new methods, benchmark techniques, and test new vendor kits. Where we believe this work to be of general interest to the scientific community, we make it open source.

Data & Methodology Publication – The nf-core framework for community-curated bioinformatics pipelines

13th February 2020  -  Categories: Research & Development

Presenting a framework for high-quality bioinformatics pipelines that can be used across all institutions and research facilities.

Data & Methodology Publication – SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population

23rd August 2017  -  Categories: Research & Development

SweGen: generating a comprehensive data resource for population-based genetic variants that describes the landscape of genetic variation in the Swedish population

Data & Methodology Publication – Cluster Flow: A user-friendly bioinformatics workflow tool

2nd May 2017  -  Categories: Research & Development

Cluster Flow: a simple and flexible bioinformatics pipeline tool designed for quick and user-friendly installation, offers next-generation sequencing data analysis with pre-configured modules and pipelines for common bioinformatics tasks.

Data & Methodology Publication – SPlinted Ligation Adapter Tagging (SPLAT), a novel library preparation method for whole genome bisulphite sequencing

7th April 2017  -  Categories: Research & Development

Presenting a novel approach for quick and cost effective WGBS library preparation that is based on splinted adaptor tagging (SPLAT) of bisulphite-converted single-stranded DNA.

Data & Methodology Publication – MultiQC: summarize analysis results for multiple tools and samples in a single report

19th October 2016  -  Categories: Research & Development

MultiQC: a bioinformatics tool that automates the parsing of NGS metadata, creating a single summary report with powerful visualizations and a simple interface. MultiQC enables researchers to quickly identify global trends and biases, improving quality control processes and reducing the risk of batch effects in large-scale sequencing studies.