Bioinformatics
Bioinformatics Services
Our bioinformatics services are designed to cater to the diverse needs of our clients, offering a range of applications AI-supported computational drug design, virtual drug screening, target identification, phenotypic studies, and biomarker analysis through to predictions of DMPK in the human body.
in vitro Biology research at Pharmaron is advanced by bioinformatics through analysis of large and complex datasets, facilitating informed decision-making and efficient, data-driven insights.
Our bioinformatics services are tailored to support the specific research objectives of each project, available either as a fee-for-service or seamlessly integrated into the workflow of our client’s drug discovery projects.
We have extensive experience mining, visualizing, and analyzing disease-focused genomic, proteomic, and phenotypic data to address various research questions. These include:
- Determining mechanisms of drug resistance
- Understanding phenotypic signatures
- Discovering biomarkers that predict treatment response
- Identifying pharmacodynamic biomarkers
- Identifying new targets, neoantigens, and drivers of disease
- Modeling drug-target interactions
- Facilitating drug repurposing
Capabilities
Genomic and proteomic data analysis
- Proteogenomics
- Variant analysis
- Differential analysis
- Enrichment analysis
- Correlation analysis
- Protein-protein interaction networks
- Pathway analysis
- Clustering and networking analysis
- Multivariate analysis
Image and phenotypic analysis
- Large cell panel screening support
- Large combination drug testing support
- Cell painting support
- High-content imaging support
- Batch effect visualization
- Machine learning algorithms
- Compound clustering
- Mode of action analysis
- Mapping of morphological profiles
Related Resources
Discover how PharmaRonNet uncovers hidden biomarkers and resistance mechanisms fast.
Cell panel screening and bioinformatics reveal BRAF inhibitor resistance mechanism.
