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Our service is designed for scientists who want easy access to just the right kind of bioinformatics expertise. Watch the video to learn how it works.
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We analyze omics data from sequencing, array and mass-spec experiments
DNA sequencing enables identifying mutations, assembling genomes and studying genetic variation in populations of any species.
We analyze DNA sequence data from whole genomes, exomes, sequencing panels, SNP arrays and metagenomic experiments.
Transcriptome-wide expression analyses are the standard approach to study molecular mechanisms in biological systems from single cells to complex microbiomes.
We analyze data from bulk RNA-seq, single-cell RNA-seq, small RNA-seq and a range of other transcriptomic measurements.
Single-cell RNA sequencing enables cataloging cells at a scale and resolution unmatched by bulk sequencing.
We analyze single-cell RNA-seq data and integrate datasets across technology platforms, data types (including scATAC-seq), and species.
Spatial transcriptomics provides a molecular view of the organization of complex tissues.
We have experience in both developing new spatial transcriptomics technologies and applying them in various normal tissues and pathologies, such as tumors.
Epigenomics characterizes the chromatin state down to minuscule chemical modifications.
We analyze most types of epigenomic sequencing and array data to gain deeper understanding of gene regulation and to identify biomarkers for diseases.
Proteomics and metabolomics reveal the functional state of a biological system.
We perform pathway and biomarker analyses on protein and small molecule MS data.
Every time I spoke to Genevia, I had a lot of questions that needed clear and accurate answers. It was very satisfying to receive incredibly patient explanations. The communication was faultless! Essentially, the project was a common journey to evolving the data, with a lot of learning on both sides, as Genevia poured in their own ideas while accommodating inputs from our side.
I don't have to worry about bioinformatics, because I can leave that to professionals. at the same time, our scientists have learned a lot about bioinformatics and it's possibilities.
I was looking for a partner to validate and improve an algorithm that aims to identify the optimal combination of cancer therapy for each patient by assessing clinical data. The collaboration with Genevia’s team has gone without any challenges. Their response time is short, they are easy to communicate with and provide high-quality machine learning expertise.
Learn more about our services and references by research area
Nervous systemResearch into the development, function and pathologies of the nervous system deserves the best bioinformatics support.
ImmunologyCharacterize cell types, immune repertoires and mechanisms of immune evasion at the highest resolution.
Immuno-oncologyUncover how tumors escape immune surveillance — and develop the next generation of immunotherapies with us.
Drug developmentDiscover drug targets, mechanisms and biomarkers with cutting-edge omics data analysis.
Metabolism and EndocrinologyDiscover metabolic and hormonal disease drivers and biomarkers.
3 November 2026 @ 14:30
Tommi Rantapero on his bioinformatician career path: from PhD to senior bioinformatician, cancer genomics projects, and how Genevia has changed since 2017.
2 October 2026 @ 11:15
Read how senior bioinformatician Dr. Efstathios Vlachavas built a multiomics bioinformatics career, from translational oncology research to Genevia.
3 February 2026 @ 07:55
Learn best practices for writing a clear, reproducible bioinformatics methods section that strengthens your manuscript and satisfies reviewers.
27 October 2025 @ 14:30
Understand the difference between 5mC and 5hmC and how expert DNA methylation analysis reveals epigenetic signals hidden in your sequencing data.
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Cancer
Genetics
Microbiology
