Unlocking Omics
Powering precision
We integrate advanced bioinformatics, systems biology, and artificial intelligence to accelerate scientific development — from operational sample management to the generation of interpretable data. By automating every stage of the process, from sample to personalized report, we drive research forward and enable clinical and scientific decision-making with speed and precision.
This is how we find out what your research wants to tell you
Expert analysis for complex omics data
Our passionate bioinformatics team crafts tailor‑made analytical journeys that transform your complex omics datasets into meaningful discoveries. We don’t just analyze data—we listen to its story and guide it toward breakthroughs.
And because we’re researchers too, we know exactly what questions—and surprises—can emerge along the way. You’ll feel our support at every step, from the first sample to the final insight.
Break the limit of the complexity
Create competitive advantage by uncovering what no one else sees: patterns buried in multimodal biological data, unsuspected relationships between genes, drugs, and diseases that transform knowledge into action. Providing deep, structured insight into complex biomolecular interactions, powered by artificial intelligence algorithms that connect, interpret, and uncover what was previously invisible.
CLINICAL CAPABILITIES
PHENOTYPE & DISEASES
Standardized annotation of gene and metabolomic signatures using clinical ontologies (DOID, ICD-10) and phenotypic vocabularies (HPO, MPO). This integration allows tracking pathological mechanisms and clinical traits, facilitating translational and personalized analyses.
- Integration with curated databases: DisGeNET, DOID, HPO, MPO.
- More than 15,000 diseases and 18,000 phenotypes supported, covering metabolic, neurological, endocrine, immune, cardiovascular, and oncological systems.
- Compatible with human and mouse samples (automatic ortholog mapping).
- Enrichment analysis by disease or phenotype, including examples such as "Type 2 Diabetes" or "Neuropathic Pain."
- Classification by physiological system to improve clinical interpretation.
- Functional z-score calculation by disease/phenotype using gene interaction networks and coherence at the level of metabolic pathways.
RARE DISEASES
Annotation of gene–disease and metabolite–disease associations focused on rare conditions, based on integrative multi-omics analysis. This module incorporates curated information from Orphanet and the CRB (Comparative Rare disease Biomarker database), provided as a separate resource for exploratory or client-specific queries.
Includes over 7,000 rare diseases across metabolic, neurological, cardiovascular, immune, endocrine, and oncological domains.
Designed to support the identification of expression and metabolic patterns associated with low-prevalence conditions (<5/10,000).
TOXICOLOGY
Optional module for the exploration of transcriptomic and metabolomic signatures related to chemical and drug-induced toxicity. It integrates curated data from the Comparative Toxicogenomics Database (CTD) and is available for specific use cases upon request.
Includes associations with toxicological endpoints such as hepatotoxicity, nephrotoxicity, neurotoxicity, cardiotoxicity, and oxidative stress.
Useful in early-stage pharmacovigilance, preclinical toxicology, and exposome research to detect expression patterns or metabolite alterations linked to adverse effects.
Data derived from in vitro models, animal studies, and selected clinical observations.
The deeptech revolution for the world of biotechnology
Nexyra is a bioinformatics center supporting research
Take your scientific project to the next level
By collaborating with our team, you gain access to cutting-edge biomedical data analysis technologies designed to enhance both your current and future research.
Beyond data processing, we offer comprehensive support to transform complex data sets into actionable knowledge—in an agile, rigorous, and fully traceable manner.
Data science explained
In every project, we transparently share our methodologies and analytical decisions. At Nexyra, there are no black boxes: we explain every step of the pipeline, from design to interpretation.
Our approach combines scientific innovation, interactive analytics, and intuitive visualization, with the goal of empowering you in the use of your own data and providing you with an evidence-based competitive advantage.
Precision multi-omics analysis
+ 28 million relationships to transform your data into clinical knowledge
Nexyra analyzes more than 1.4 million transcript variants, integrating more than 4.4 million associations between genetic variants and diseases, from established databases such as DisGeNET and Orphanet.
Our system incorporates 38,100 disease-phenotype relationships (HPO, DOID, CRB) and more than 28 million multi-omic connections between diseases, genes, and metabolomic profiles, curated from high-quality public sources.
In addition, more than 14,000 interactions between drugs, toxic compounds, and clinical phenotypes are integrated, from databases such as CTD, exposome data, and specialized scientific literature.
Ready to transform your omics data?
Activate your collaboration with Nexyra now:
🔹 Request a demo
Discover how we transform transcriptomes and metabolomes into functional and interpretable knowledge.
🔹 Get a quote for your project
Receive a technical and financial proposal tailored to your analytical objectives and needs.
