Services

Bioinformatics support shaped around your biological question.

From study design and quality control to statistical interpretation, visualization, and manuscript support.

What we offer

Senior-level expertise at every stage

Single-Cell & Spatial Transcriptomics

End to end scRNA-seq (10X Genomics, Smart-Seq2) and spatial transcriptomics (10X Visium/VisiumHD, MERFISH) analysis including quality control, integration, cell type annotation, trajectory analysis, cell-cell communication, and multi sample integration.

scRNA-seqSeuratSpatialMonocle3CellChat
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Bulk RNAseq Data Analysis

Comprehensive bulk RNASeq data analysis, from raw sequencing reads to actionable biological insights, including quality control, differential expression, co-expression networks, and pathway interpretation.

RNA-seqWGCNAPPIGSEA
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Whole Exome and Genome Data Analysis

Advanced whole genome and exome sequencing analysis, from raw data processing to accurate variant detection, annotation, and interpretation, enabling meaningful clinical and research insights.

WGS/WESSNVCNVGWAS
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Proteomics & OLINK Data Analysis

Turn high-dimensional protein measurements into clear biological findings through assay and sample quality control, differential protein abundance testing, pathway analysis, biomarker evaluation, and integration with clinical or other omics data.

OLINKProteomicsBiomarkersPathway Analysis
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ChIP-Seq Data Analysis

Map transcription-factor binding and histone modifications with a reproducible workflow covering read quality control, alignment, enrichment assessment, peak calling, differential binding, motif discovery, and regulatory interpretation.

ChIP-SeqPeak CallingMotifsEpigenomics
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DNA Methylation Array Analysis

Analyze Illumina EPIC and 450K methylation arrays from raw IDAT files through sample and probe quality control, normalization, batch assessment, differential methylation, region analysis, and pathway interpretation.

EPIC Array450KDMP/DMREpigenetics
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Machine Learning & Statistical Modeling

Supervised and unsupervised learning applied to biological data, classification, regression, clustering, deep learning for protein sequences, and multi-omics integration.

RPythonscikit-learndeep learning
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Interactive Data Visualization and Tool Development

Custom R Shiny dashboards and interactive multi omics visualization webtools for exploring and sharing complex genomic datasets with collaborators and clinicians.

R Shinyggplot2plotlyVitessceR
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Engagement model

Flexible enough for a single analysis or an embedded partnership.

Typical deliverables

  • Documented, version-controlled analysis
  • Quality-control and methods reports
  • Publication-ready figures and tables
  • Interactive dashboards when appropriate
  • Knowledge transfer and manuscript support

Bring us your research question

Let’s turn complex data into defensible results.

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