Bioinformatics analysis, machine learning, biomarker discovery, and interactive research software — from raw sequencing files to interpretable disease biology.
Tegnostix helps scientists, research groups, biotech companies, pharma teams, and clinical research programs turn high-dimensional biological data into clear, actionable insights. We combine rigorous bioinformatics analysis, automated multi-omics pipelines, machine learning, biomarker discovery workflows, and custom research software to help teams move from raw sequencing files to interpretable disease biology, predictive models, and decision-ready outputs.
Multi-omics integration to uncover molecular interactions, regulatory programs, and disease mechanisms.
Predictive modeling for disease classification, patient stratification, and pathology-associated signatures.
Cell-type characterization across bulk, single-cell, tumor, immune, and infection-related datasets.
Biomarker discovery for disease states, cell states, therapeutic response, and tumor subtypes.
Pathway and network analysis to identify candidate drug targets and therapeutic mechanisms.
Tissue-, cell-type-, and condition-specific analysis for infection, inflammation, cancer, and complex diseases.
Cross-study comparison against public datasets, published signatures, and reference atlases.
Automated, reproducible analysis pipelines with structured reporting, versioned outputs, and scalable workflow execution.
Custom web and mobile applications for biological data visualization, cohort exploration, and research workflows.
Peer-reviewed computational platforms supporting RNA and single-cell research worldwide.
Small RNA-seq analysis platform
Expression atlas and comparison resource
Single-cell analysis resource
From raw sequencing data to validated biological insight, predictive models, and interactive decision-support tools.