AI-Driven DNA Analysis

Empowering Clinical and Research Excellence

Genalyse provides AI-powered bioinformatics solutions, enabling researchers, healthcare professionals, and biotech companies to analyze complex multi-omics data with precision and efficiency.

Get Started
Powerful Tools for Multi-Omics Analysis

Genalyse integrates advanced bioinformatics with an intuitive design, making multi-omics analysis both accessible and powerful.

AI-Powered Multi-Omics Analysis

Precision annotation and alignment for deeper biological insights.

Clear Data Visualizations

High-quality figures transform complex multi-omics data into actionable insights.

Scalable Cloud Processing

Efficiently handle large multi-omics datasets with secure, high-performance cloud infrastructure.

Data Security & Compliance

Enterprise-grade encryption and compliance standards protect your sensitive biomedical data.

AI-Powered Analysis

Machine learning reveals patterns, anomalies, and insights across multi-omics data.

Real-Time Results

Optimized pipelines deliver fast, reliable insights for time-sensitive research and clinical applications.

Regulatory Compliance

Built to meet global clinical and data security standards for seamless compliance.

Clinical Integration

Effortlessly connect with existing healthcare systems for streamlined workflows and interoperability.

Analysis Packages

Choose the right analysis for your research. Each package delivers a comprehensive report with detailed findings and interpretations.

WES AnalysisWhole Exome Sequencing (WES) Analysis

  • Quality control and preprocessing of raw sequencing data
  • Accurate read alignment to the reference genome
  • Variant calling and filtering for SNPs and Indels with quality metrics
  • Functional annotation using curated clinical and population databases
DETAILS
Popular

CES AnalysisClinical Exome Sequencing (CES) Analysis

  • Processing and QC of germline data targeting clinically relevant exons
  • High-confidence variant calling for inherited disorders
  • Functional annotation via curated clinical databases
  • ACMG-guided germline variant classification
DETAILS

WGS AnalysisWhole Genome Sequencing (WGS) Analysis

  • Quality control and preprocessing of WGS data
  • Read alignment and variant calling for SNVs, Indels, and structural variants
  • Genome-wide functional annotation and impact prediction
  • Detection of clinicallyrelevant variants and known disease associations
DETAILS

SVA AnalysisSomatic Variant Analysis

  • Detecting somatic single-nucleotide variants (SNVs) and small...
  • Estimating variant allele frequency (VAF) to resolve clonal architecture...
  • Functionally annotating variants with COSMIC, TCGA, OncoKB, and other...
  • Calculating tumor mutational burden (TMB) and assessing microsatellite...
DETAILS

CNV AnalysisCopy Number Variation Analysis

  • High-resolution detection of copy-number alterations from WGS...
  • Identification of copy-number gains and losses
  • Segmentation-based gene-level and region-level CNV analysis
  • Comprehensive visualization with CNV heatmaps, genome-wide CNV plots...
DETAILS

Bulk RNA-Seq AnalysisBulk RNA-Seq Analysis

  • Quality control and preprocessing of RNA-Seq data
  • Alignment to reference genome or transcriptome
  • Quantification of gene and transcript expression
  • Differential gene expression (DGE) analysis across conditions
DETAILS
View All Packages