4th May 2021 - Categories: Updates
NGI in collaboration with the SciLifeLab Affinity Proteomics Uppsala unit now offer protein biomarker analysis services using the Olink Explore assay.
22nd January 2021 - Categories: Updates
NGI in collaboration with Illumina are happy to announce a >30% price reduction for methylation profiling using the Illumina EPIC array in large-cohorts of ≥500 samples. For further information please contact: contact@genotyping.se
4th September 2020 - Categories: Research & Development
Sarek: an open-source bioinformatic tool to detect germline variants and somatic mutations based on sequencing data from WGS, whole-exome sequencing (WES), or gene panels. Sarek offers easy, efficient, and reproducible analyses, and can readily be used both as a production workflow at sequencing facilities and as a powerful stand-alone tool for individual research groups.
13th February 2020 - Categories: Research & Development
Presenting a framework for high-quality bioinformatics pipelines that can be used across all institutions and research facilities.
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
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.
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.
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.