Bioinformatics & Multi-Omics Expertise
We empower researchers and companies by providing expert guidance in experimental design, sample processing strategies, and multi-omics data analysis. Our focus is on protocol optimization, data interpretation, and ensuring high-quality, reproducible results.
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Our Services
1
Scientific Project Consulting
Expert guidance in research design, data collection, and protocol optimization for multi-omics studies.
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Sample Collection and Preparation Strategies
Support in sample selection, preservation, and quality control, connecting researchers with specialized processing centers.
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Multi-Omics Analysis Pipeliness
Tailored genomics, transcriptomics, lipidomics, and metabolomics pipelines for biomarker discovery and multi-omics integration.
Statistical & Predictive Modeling
Spatial Transcriptomics & Imaging-Based Omics
  • Processing and analyzing spatial transcriptomics data using R and Python.
  • Cell type deconvolution, spatially resolved clustering, and neighborhood enrichment analysis.
  • Integration of imaging-based molecular data for spatial biology insights.
Multi-Omics & Functional Analysis
  • Differential expression analysis for bulk and single-cell RNA-Seq data.
  • Functional pathway enrichment with GO, KEGG, and Reactome databases.
  • Epigenomic and metabolic integration for disease modeling.
High-Impact Data Visualization
  • Custom data visualization in Seurat, Squidpy, and ggplot2 for publication-ready figures.
  • Interactive UMAP, t-SNE, and trajectory inference visualizations.
  • Generation of spatial heatmaps, correlation matrices, and pathway networks.
Custom Bioinformatics Development
Experimental Design & Sample Processing Support
  • Strategic guidance for sample collection, preparation, and quality control.
  • Development of standardized protocols to ensure reproducibility in omics studies.
Pipeline Development
  • Optimized for genomic, transcriptomic, lipidomic, and proteomic data.
  • Modular and scalable for diverse research applications.
Advanced Computational Frameworks
  • Design and implementation of multi-omics data processing pipelines.
Shaping the Future of Omics Analysis
BioStralis leverages cutting-edge technologies and scientific expertise to empower research in the era of data-driven biology.
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Precision Medicine
Customized data analysis to support personalized health strategies.
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Multi-omics Integration
Combining genomics, transcriptomics, proteomics, metabolomics, and lipidomics for deeper biological insights.
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Machine Learning & AI
Uncovering complex patterns and predictive biomarkers through advanced algorithms.
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Cloud-Based Solutions
Scalable and secure infrastructure for high-throughput data analysis.
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Spatial Bioinformatics
Using tools like Squidpy, Scanpy, Seurat, Giotto and more R and Python packages, to decode spatial gene expression in tissue context.
Why Partner with BioStralis?
2022
Projects Delivered
Delivering bioinformatics solutions since 2022
50+
Projects Delivered
Across genomics, transcriptomics, proteomics & lipidomics
Meet Our Expert Team
Jo Mic, PhD
Specialized in neuroscience and biochemistry, leads the experimental aspects of BioStralis, assisting researchers and companies with project structuring, sample collection, and spatial omics integration. Also collaborates with research centers to optimize sample acquisition protocols and laboratory workflows.
Bel Hi, PhD
A senior biostatistician and epidemiologist, specializes in multi-omics data analysis and statistical modeling. With expertise in lipidomics, transcriptomics, and genetic risk profiling, he ensures robust and high-impact data analysis, translating complex datasets into meaningful clinical insights.
Our Team
Experts in biochemistry, neuroscience, pharmacology, epidemiology and highly skilled bioinformatics using advanced analytical methods to analyze biological data.
Frequently Asked Questions
Do I need to know the exact analysis I need when I reach out?
You don’t have to know the specific analysis you need. We work with you to understand your objectives and recommend the best approach.
How flexible are your services for different research needs?
We provide fully customizable workflows tailored to your project’s scope, ensuring flexibility to meet unique research requirements.
What types of data can BioStralis analyze?
We can analyze a variety of data types, including genomics, transcriptomics (single-cell and bulk RNA-seq), spatial transcriptomics, proteomics, metabolomics, and lipidomics.
Contact Us
Let’s turn your data into discovery.
Email: contact@biostralis.com
Schedule a free consultation
Let’s discuss how BioStralis can provide data-driven insights for your omics research, clinical questions, or biomarker discovery projects.