AI-Assisted Bioinformatics
Machine learning-enabled workflows for biomarker discovery, variant prioritization, and predictive genomics.
Computational Genomics & NGS
Spatial Transcriptomics
AI-Powered Spatial Transcriptomics Analysis for Tissue Architecture, Cellular Interactions & Precision Medicine
RASA Life Science Informatics provides advanced Spatial Transcriptomics analysis services that enable researchers to investigate gene expression within its native tissue context. By combining transcriptomic profiling with spatial information, our workflows reveal cellular organization, tissue heterogeneity, microenvironment interactions, and disease-associated molecular landscapes that cannot be captured through conventional bulk or single-cell sequencing alone.
Our bioinformatics pipelines support leading spatial transcriptomics platforms including 10x Genomics Visium, Slide-seq, MERFISH, SeqFISH, NanoString GeoMx DSP, CosMx SMI, and other emerging spatial omics technologies. We help pharmaceutical companies, biotechnology organizations, hospitals, research institutes, and academic laboratories uncover spatially resolved biological insights for translational research and therapeutic discovery.
From spatial gene expression mapping to cell–cell communication analysis and tissue microenvironment characterization, our scalable workflows deliver publication-ready results for oncology, neuroscience, immunology, developmental biology, infectious diseases, and precision medicine research.
Service Offerings
Spatial Transcriptomics Services
Spatial Gene Expression Analysis
Characterize gene expression patterns across tissues while preserving spatial organization.
- ✓Spatial gene expression profiling
- ✓Tissue region characterization
- ✓Spatially variable gene identification
- ✓Spatial clustering analysis
- ✓Differential spatial expression analysis
Cell Type Mapping & Deconvolution
Identify and localize cell populations within complex tissues.
- ✓Cell type annotation
- ✓Spatial cell mapping
- ✓Cell deconvolution analysis
- ✓Integration with single-cell RNA-seq
- ✓Cellular composition analysis
Tissue Microenvironment Analysis
Explore cellular interactions and biological processes within tissue ecosystems.
- ✓Tumor microenvironment characterization
- ✓Immune cell infiltration analysis
- ✓Stromal cell profiling
- ✓Spatial neighborhood analysis
- ✓Cellular niche identification
Cell–Cell Communication Analysis
Investigate signaling interactions between neighboring cells.
- ✓Ligand–receptor interaction analysis
- ✓Spatial signaling networks
- ✓Cell interaction mapping
- ✓Pathway activity inference
- ✓Communication hotspot identification
Multi-Omics Spatial Integration
Combine spatial transcriptomics with other omics technologies.
- ✓Spatial + scRNA-seq integration
- ✓Spatial proteomics integration
- ✓Multi-modal tissue analysis
- ✓Systems biology interpretation
- ✓Biomarker discovery
Capabilities
Key Features
✓Spatially Resolved Gene Expression Analysis
✓Tissue Architecture Characterization
✓Cell Type Mapping & Annotation
✓Tumor Microenvironment Profiling
✓Cell–Cell Communication Analysis
✓Single-Cell & Spatial Omics Integration
✓Cloud-Ready Reproducible Pipelines
✓Publication-Ready Visualizations
Deliverables
Deliverables
Spatial Analysis Outputs
✓Spatial Gene Expression Maps
✓Tissue Region Identification
✓Spatial Clustering Results
✓Cell Type Distribution Maps
✓Differential Spatial Expression Reports
Advanced Analytics
✓Cell–Cell Communication Networks
✓Spatial Neighborhood Analysis
✓Tumor Microenvironment Reports
✓Immune Landscape Characterization
✓Biomarker Discovery Reports
Visualization & Reporting
✓Tissue Overlay Visualizations
✓Spatial Heatmaps
✓UMAP & Dimensionality Reduction Plots
✓Publication-Ready Figures
✓Comprehensive Scientific Reports
Applications
Applications
Cancer Research
Tumor microenvironment characterization, immune infiltration analysis, and precision oncology studies.
Neuroscience
Spatial mapping of neuronal populations and brain tissue organization.
Immunology
Investigation of immune cell localization and tissue-specific responses.
Developmental Biology
Spatial characterization of tissue development and cellular differentiation.
Infectious Disease Research
Host-pathogen interaction studies within tissue microenvironments.
Precision Medicine
Spatial biomarker discovery and patient stratification.
Technology
Technologies & Platforms
Spatial Transcriptomics Platforms
10x Genomics Visium
Slide-seq
MERFISH
SeqFISH
NanoString GeoMx DSP
CosMx SMI
Analysis Tools
Seurat
Scanpy
Giotto
Squidpy
STUtility
Cell2location
Cell Communication Tools
CellChat
NicheNet
CellPhoneDB
LIANA
Infrastructure
Nextflow
Snakemake
Docker
AWS
Google Cloud
HPC Clusters
Highlights
Representative Analysis Outputs
Tissue Architecture Analysis
Identification of spatially distinct biological regions and tissue compartments.
Tumor Microenvironment Profiling
Mapping of cancer, immune, and stromal cell interactions.
Spatial Biomarker Discovery
Identification of location-specific biomarkers and therapeutic targets.
Cell Communication Networks
Visualization of intercellular signaling pathways within tissues.
Multi-Omics Integration
Integration of spatial transcriptomics with single-cell and proteomics datasets.
Why RASA
Why Choose RASA?
Multi-Platform Expertise
Support for Illumina, Oxford Nanopore, PacBio HiFi, and 10x Genomics platforms.
End-to-End Analysis
From raw sequencing data to biological interpretation and publication-ready reports.
Cloud-Ready Infrastructure
Deployable on AWS, Google Cloud, HPC clusters, and secure on-premise environments.
Reproducible Workflows
Built using Nextflow, Snakemake, Docker, and Singularity for enterprise-grade bioinformatics operations.
Service FAQ
Frequently Asked Questions
Ready to partner with a trusted bioinformatics company in India?
Get in touch with our team in Pune, India to discuss sample sizes, platform details, and custom bioinformatics pipeline configurations for your research program.
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