Advances are made within the high-throughput sequencing technologies and other omics technologies such as proteomics and metabolomics. This progress has provided a systems-level understanding of the microbiome and its relation to health.

As microbiome analysis methods and standards continue to advance, the unprecedented volume of microbiome data being generated, poses significant bioinformatic and data science challenges.

Therefore, efficient bioinformatic tools and advanced statistical methods are needed to identify biomarkers and diagnostics that help us monitor and manage microbiomes.

The Greater Copenhagen region is home to several internationally recognized bioinformatic researchers and groups with expertise in handling and integrating multi-omics microbiome data. Furthermore, the region is home to Clinical Microbiomics, which is a world-leading provider of microbiome analyses, SNIPR Biome, a company pioneering the use of CRISPR/Cas technology to selectively and precisely eradicate target bacteria, and startups offering personalised microbiome analyses and insights .


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Examples of publications led by researchers affiliated to the region

Wirbel and Pyl et al. (2019) Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer. Nature Medicine

Krych et al. (2019) DNA enrichment and tagmentation method for species-level identification and strain-level differentiation using ON-rep-seq. Communications Biology

Pedersen et al. (2018) A computational framework to integrate high-throughput ‘-omics’ datasets for the identification of potential mechanistic links. Nature Protocols

Nielsen et al. (2014) Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes. Nature Biotechnology