Our Services

Comprehensive bioinformatics solutions tailored to your research needs

Single cell RNA-Seq

Our workflows help you uncover rare cell populations, reconstruct lineage hierarchies, and understand cell-specific responses — essential for cancer research, immunology, and developmental biology.

We offer end-to-end support for single-cell transcriptomics, including:

  • Quality control & preprocessing
  • Dimensionality reduction & clustering
  • Cell type annotation & trajectory inference
  • Differential gene expression & pathway analysis
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Spatial Transcriptomics

We provide analytical pipelines for a wide range of spatial transcriptomics technologies, integrating gene expression data with tissue architecture to reveal spatial patterns of biological activity.

Our services include:

  • Tissue segmentation and spatial clustering
  • In situ gene expression visualization
  • Cell-type deconvolution using scRNA-seq integration
  • Differential expression across spatial domains
  • Identification of spatially organized gene programs

Our analyses help reveal tissue organization, cellular niches, and local regulatory dynamics.

Genomic Data Visualization

Genomics & Variant Calling

For both research and clinical-grade sequencing data, we offer robust pipelines for DNA-seq analysis, including:

  • Preprocessing and quality control
  • Germline and somatic variant calling (SNPs, indels, CNVs, SVs)
  • Variant annotation and functional prioritization
  • Multi-sample comparison, mutation signatures, clonality inference
  • Targeted panels, exome, or whole genome sequencing (WGS) support
  • Data interpretation pipelines (e.g., ACMG classification for clinical relevance)

We also support trio and population-level analyses, including cohort QC, ancestry inference, and burden testing.

Genomics

Epigenetics & Proteomics

We provide analytical support for assays targeting regulatory mechanisms beyond the genome, including chromatin accessibility, transcriptional control, and protein-level dynamics.

Epigenetics:

  • ATAC-seq: peak calling, differential accessibility, transcription factor footprinting
  • ChIP-seq: binding site identification, signal quantification, motif analysis
  • DNA methylation: bisulfite-seq processing, DMR detection, genomic annotation
  • Cross-omics integration with RNA-seq to link regulatory regions to gene expression

Proteomics:

  • Mass spectrometry-based quantification (label-free or TMT/iTRAQ)
  • Differential protein expression and pathway enrichment
  • PTM profiling (e.g., phosphoproteomics)
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Experimental Design Assistance

Robust data starts with thoughtful design.

We support research teams in optimizing the bioinformatic and statistical aspects of their experimental setup before data acquisition, helping to ensure scientific rigor, interpretability, and cost-effectiveness.

Our services include:

  • Power analysis and sample size estimation for omics studies
  • Randomization and batch effect mitigation strategies
  • Selection of appropriate controls, replicates, and time points
  • Definition of analysis-ready metadata structures (FAIR-compliant)

Experimental Design Assistance

Collaborative manuscript support

We support researchers in transforming complex analyses into clear, publishable results.

Our services include:

  • Writing and structuring of methods and results
  • Creation of high-quality figures and tables
  • Review of bioinformatic interpretations
  • Drafting responses to peer reviewers
  • Supplementary material preparation (code, extended methods, raw data summaries)

We act as scientific collaborators — not just service providers — to ensure your work is well-documented, reproducible, and impactful.

Collaborative manuscript support

Custom Pipeline Development

In addition to standardized workflows, we offer:

  • Custom pipeline development (Snakemake, Nextflow, WDL)
  • Statistical modeling, machine learning, and dimensionality reduction
  • Database design and implementation for biological data management
  • Interactive dashboards and reproducible reports (R Markdown, Shiny, Streamlit)
  • API development for integration with existing research infrastructure
  • User-friendly interfaces for non-technical researchers

We work closely with experimental teams to align biological goals with analytical feasibility — reducing rework, increasing reproducibility, and strengthening the value of your data from the start.

Custom Pipeline Development

Need a Custom Solution?

Our team of experts can develop tailored bioinformatics approaches for your unique research challenges.

Contact Us