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
View pipeline →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
View pipeline →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
View pipeline →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
View pipeline →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
View pipeline →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
View pipeline →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
Discuss this service →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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