Bioinformatics & Computational Biology
overview
Turning biological data into actionable insights
Our Bioinformatics & Computational Biology solutions bring together advanced analytics, AI, and domain expertise to address today’s most complex biomedical challenges. We help research teams, biotech innovators, and healthcare organizations extract meaning from large-scale biological datasets and accelerate discovery.
Immuno-Informatics & Vaccine Design
Accelerate immunotherapy development through computational immunology:
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Mutation calling & HLA typing
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Peptide–MHC binding affinity prediction
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Immunogenicity scoring & candidate ranking
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In silico vaccine design workflows
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Immune microenvironment data integration
Genomics Analytics
Comprehensive genomics solutions to power discovery and translational research:
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Whole Exome & Whole Genome Sequencing (WES/WGS)
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Bulk & Single-cell RNA-Seq analysis
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Variant calling, mutation profiling, copy number analysis
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Multi-omics integration (transcriptomics, epigenetics, proteomics)
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Cohort studies & biomarker discovery
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Custom pipeline development (Python, R, Bash, Snakemake, Nextflow)
Spatial Biology
Reveal tissue architecture and cell-to-cell interactions with next-generation spatial profiling:
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Spatial transcriptomics (Visium, GeoMx, MERFISH)
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Multiplex spatial proteomics & imaging data
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Cell clustering, annotation, neighborhood modeling
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Interactive visualizations: UMAP, t-SNE, spatial maps
-
Cross-modal integration with genomic & transcriptomic data
Immuno-Informatics & Vaccine Design
Accelerate immunotherapy development through computational immunology:
-
Mutation calling & HLA typing
-
Peptide–MHC binding affinity prediction
-
Immunogenicity scoring & candidate ranking
-
In silico vaccine design workflows
-
Immune microenvironment data integration
Genomics Analytics
Comprehensive genomics solutions to power discovery and translational research:
-
Whole Exome & Whole Genome Sequencing (WES/WGS)
-
Bulk & Single-cell RNA-Seq analysis
-
Variant calling, mutation profiling, copy number analysis
-
Multi-omics integration (transcriptomics, epigenetics, proteomics)
-
Cohort studies & biomarker discovery
-
Custom pipeline development (Python, R, Bash, Snakemake, Nextflow)
Spatial Biology
Reveal tissue architecture and cell-to-cell interactions with next-generation spatial profiling:
-
Spatial transcriptomics (Visium, GeoMx, MERFISH)
-
Multiplex spatial proteomics & imaging data
-
Cell clustering, annotation, neighborhood modeling
-
Interactive visualizations: UMAP, t-SNE, spatial maps
-
Cross-modal integration with genomic & transcriptomic data
Data Integration & Visualization
Make sense of complex datasets through robust integration and intuitive insights:
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Cross-platform data harmonization
-
Multi-omics and spatial integration
-
Custom dashboards & interactive visualizations
-
Secure, reproducible workflows for collaboration
Single-Cell Profiling
Deeply characterize
cellular heterogeneity
with single-cell resolution:
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Single-cell RNA-Seq data processing and clustering
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Cell type annotation and trajectory analysis
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Multi-omics single-cell integration
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Functional enrichment and pathway analysis
Protein Modelling & AI
Harness AI and structural biology for therapeutic innovation:
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3D protein structure prediction (AlphaFold, Rosetta)
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Protein–ligand & protein–protein interaction modeling
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Binding site prediction & druggability assessment
-
Virtual screening & molecular docking
-
AI-driven de novo protein design
Data Integration & Visualization
Make sense of complex datasets through robust integration and intuitive insights:
-
Cross-platform data harmonization
-
Multi-omics and spatial integration
-
Custom dashboards & interactive visualizations
-
Secure, reproducible workflows for collaboration
Single-Cell Profiling
Deeply characterize
cellular heterogeneity
with single-cell resolution:
-
Single-cell RNA-Seq data processing and clustering
-
Cell type annotation and trajectory analysis
-
Multi-omics single-cell integration
-
Functional enrichment and pathway analysis
Protein Modelling & AI
Harness AI and structural biology for therapeutic innovation:
-
3D protein structure prediction (AlphaFold, Rosetta)
-
Protein–ligand & protein–protein interaction modeling
-
Binding site prediction & druggability assessment
-
Virtual screening & molecular docking
-
AI-driven de novo protein design
Our Managed IT services will help you succeed. Let’s get started
Proven expertise in large-scale data processing and machine learning
Scalable HPC and cloud-based infrastructure
Reproducible, automated workflows with strong data governance
Clear and interpretable reporting for decision support
A collaborative approach bridging life sciences and data science