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.

Contact us

Our Services

1

Scientific Project Consulting

Expert guidance in research design, data collection, and protocol optimization for multi-omics studies.

2

Sample Collection and Preparation Strategies

Support in sample selection, preservation, and quality control, connecting researchers with specialized processing centers.

3

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.

Public Health & Clinical Data Analytics

• Quality control and validation of large-scale clinical and molecular datasets.
• Support for population-level screening programs and health system data workflows.
• Generation of actionable insights for public health decision-making.

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.

Population Health & Screening Analytics

• Advanced data quality control and validation for large-scale screening programs.
• Generation of actionable insights for public health decision-making.


Shaping the Future of Omics Analysis

BioStralis leverages cutting-edge technologies and scientific expertise to empower research in the era of data-driven biology.

1

Precision Medicine

Customized data analysis to support personalized health strategies.

2

Multi-omics Integration

Combining genomics, transcriptomics, proteomics, metabolomics, and lipidomics for deeper biological insights.

3

Machine Learning & AI

Uncovering complex patterns and predictive biomarkers through advanced algorithms.

4

Cloud-Based Solutions

Scalable and secure infrastructure for high-throughput data analysis.

5

Supporting large-scale public health

Through advanced data analytics and quality control frameworks.


Why Partner with BioStralis?

2023

Projects Delivered

Delivering bioinformatics solutions since 2023

15+

Projects Delivered

Across genomics, transcriptomics, proteomics & lipidomics

Meet Our Expert Team

Krista Wartchow, 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.

William Dartora, 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.