The GeneOmics Solutions vision is early diagnosis and treatment in a personalized fashion using multi-omics data.
Our mission is to support data-driven research for the discovery of novel biomarkers to develop innovative diagnostic and therapeutics for life-threatening diseases such as cancers, rare diseases, autoimmune and infectious diseases.
To achieve our mission, we have gathered the best team with different backgrounds and expertise to build an Omics-MAP platform with end-to-end discovery pipelines and solutions to use multi-omics data for precision medicine.
Our agile solutions will enable the discovery of novel biomarkers and therapeutic targets.
Our aim is to build and implement a comprehensive multi-omics framework for our clients.
The integration of multi-omics data can provide a more comprehensive understanding of biological systems and can help to address complex biological problems such as disease diagnosis, drug development, and personalized medicine.
1. Pathway Discovery
Genomics, Transcriptomics, and Epigenomics: This combination helps understand the regulatory mechanisms governing pathway dysregulation and can reveal epigenetic drivers of disease.
2. T-cell Receptor Discovery
Genomics, Transcriptomics, Epigenomics, and Immunomics: Integrating these data types helps identify neoantigens that are both tumor-specific and immunogenic, considering factors like T-cell receptor (TCR) recognition and MHC presentation.
3.Neoantigen Discovery
Genomics, Transcriptomics, and Proteomics: Integrating these data types helps identify neoantigens resulting from tumor-specific mutations, their expression at the RNA and protein levels, and their potential for presentation on major histocompatibility complex (MHC) molecules.
4. Biomarker Discovery
Transcriptomics and Metabolomics: Integrating these data types helps identify biomarkers that reflect the functional consequences of gene expression changes on metabolic pathways, providing insights into disease progression or treatment response.
5. Host-Pathogen Interactions
Data integration techniques such as correlation analysis, network analysis, and pathway mapping enable the identification of microbial interactions, functional modules, and potential host-microbe relationships.
GeneOmics Solutions offering AI solutions for Better Diagnosis
Wood Centre for Innovation, Stansfield Park, Quarry Road, Headington, Oxford OX3 8SB, UK
Please send us a message or call us for an appointment: Company Number 11637081 +44 (0) 7896973521 Email: Info@geneomics.co.uk
Monday - Friday: 8:00am - 5:00pm
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