Services and infrastructure

We offer research teams expert collaboration in planning and carrying out genomics projects. We combine laboratory expertise with sequencing technologies, bioinformatics development and data management. The specific scope of analyses and form of collaboration are agreed according to the research question and the nature of the material.

Experimental design and laboratory processing

We help select sequencing approaches, design analytical workflows and define sample and metadata requirements. Collaboration may include:

●       nucleic acid preparation;

●       quality control;

●       sequencing library preparation;

●       downstream evaluation.

Early consultation helps align the research objective with the available material, budget and planned analysis.

Sequencing and genomic analyses

We use first-, second- and third-generation sequencing technologies. Short and long reads support different types of tasks, from analysing genetic variants and circulating DNA to characterising microbial genomes and communities. We select the appropriate technology and sequencing depth according to the project’s objectives.

Bioinformatics and interpretation

We process sequencing data and develop analytical workflows tailored to project needs. Areas of collaboration include:

●       quality control and read mapping;

●       analysis of genetic variation;

●       microbial analyses;

●       evaluation of cfDNA characteristics.

We prepare outputs that are understandable to expert partners and address the biological question.

Computing environment and data management

Our laboratory activities are complemented by server and data infrastructure for processing genomic datasets. We develop documented and versioned workflows, metadata records and access management.

Development of federated services

In collaboration with our partners, we aim to improve connections between national and European data and computing capacities. The federated approaches under development are intended to enable data analysis where the data are stored and reduce the need to transfer large or sensitive files. This direction also involves standardising data, metadata and analytical workflows.

How to get started

When first contacting us[1] , briefly describe:

●       your research question;

●       the type and estimated number of samples;

●       available data;

●       the required timeline.

Together, we will propose the next steps and scope of collaboration.