Platforms

NGS and Omic Technologies

We convert massive data into intelligible answers

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From complex datasets to clear answers - From complex datasets to clear answers - From complex datasets to clear answers - From complex datasets to clear answers - From complex datasets to clear answers - From complex datasets to clear answers - From complex datasets to clear answers - From complex datasets to clear answers -
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Problem

Next-generation sequencing (NGS) generates an overwhelming volume of data on microbial communities and individual microorganisms. Yet, extracting reliable and actionable insights from these datasets requires not only bioinformatics expertise but also deep knowledge of microbial ecology and taxonomy. Without this, valuable opportunities may remain hidden.

Solution

Our team will design a complete study to understand and solve your specific problems.

At DARWIN, we design end-to-end studies that move from raw sequencing data to clear, actionable answers tailored to your specific needs.

 

Our expertise integrates:

  • NGS technologies (Illumina, Sanger, Oxford Nanopore Technologies, PacBio)
  • Bioinformatics and biostatistics pipelines for genomic and metagenomic analyses
  • Exclusive know-how in microbial taxonomy and ecology

 

We are leaders in:

  • Microbiome profiling (in situ and ex situ)
  • (Meta)genome mining from private and public repositories
  • Custom pipelines that merge omics data with experimental validation

 

This integrative approach allows us to uncover hidden microbial functions, identify promising strains, and translate massive datasets into valuable solutions for industry

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Learn more about our work or make a specific request.

More than

9301270

Mbp of genomic information

More than

3096

analyzed samples

The microbiology that fits your needs

Multiple sequencing technologies: Illumina, Sanger, Oxford Nanopore Technologies, PacBio

End-to-end consulting, including experimental design

Clear result interpretation

Integration of sequencing results with real-world experimental data