AI-Powered Bioinformatics & Interpretation

Our AI-driven bioinformatics platform transforms complex genomic and transcriptomic data into actionable biological and clinical insights. Designed to integrate seamlessly with upstream workflows, it supports comprehensive analysis across DNA methylation, gene expression, and mutation profiling.

Key Features
  • AI-powered data interpretation for multi-omics datasets
  • Scalable analysis pipelines for both targeted panels and large-scale sequencing
  • Automated data processing with standardized, reproducible workflows

 

Analysis Modules
  • DNA Methylation Analysis
    • Integrated conventional bioinformatics and AI-based predictive models
    • Alignment and methylation analysis focused on CpG site identification and differentially methylated regions (DMRs)
    • Enables characterization of epigenetic patterns across samples
    • Supports cancer classification and biomarker discovery based on methylation signatures
  • Single-Cell RNA Sequencing (scRNA-seq)
    • Combined conventional and AI-driven analytical models
    • Cell clustering, annotation, and cell type identification
    • Differential gene expression analysis at single-cell resolution
    • Variant detection at the cellular level
    • Ideal for studying cellular heterogeneity and dynamic gene expression changes
  • Bulk RNA Sequencing (RNA-seq)
    • End-to-end bioinformatics pipeline from alignment to downstream analysis
    • Gene expression quantification and differential expression analysis
    • Variant detection within transcriptomic data
    • Supports discovery of disease-associated expression changes and regulatory patterns
  • Mutation & Variant Analysis
    • Detection of SNVs, indels, and targeted variants
    • Annotation of clinically relevant and actionable mutations
    • Variant filtering and prioritization
    • Support for low-frequency variant detection (e.g., cfDNA applications)

 

Integrated Workflow
  • Sequencing Data → QC & Preprocessing → AI-Driven Analysis → Interpretation & Visualization → Actionable Insights

 

Applications
  • Cancer biomarker discovery and validation
  • Precision oncology and patient stratification
  • Translational research and clinical studies