NGS DataWorks™

A tool for AI-powered next-gen sequencing data analysis solutions for Oncology, Functional genomics & Disease studies

Context
A tool for AI-powered next-gen sequencing data analysis solutions for Oncology, Functional genomics & Disease studies

A tool for flexible, scalable, scientist-friendly analytics

Aganitha’s NGS DataWorks™ has been designed to equip scientists with robust sequencing data analytics, removing technical hurdles that often slow discovery. Our tool serves as a core engine that manages and executes your custom NGS workflows while orchestrating seamless data flow between different steps and downstream applications – all without requiring extensive bioinformatics expertise. Unlike off-the-shelf NGS pipelines that limit your analytical capabilities, NGS DataWorks™ adapts to your needs

Through its scalable pipeline framework, private cloud or HPC deployment options, and expert support for quality control and tailored insights, NGS DataWorks™ helps make NGS data analysis efficient, adaptable, and accessible.

Key Solution Areas

Solution area

NGS solutions for oncology

NGS enables comprehensive genomic profiling of tumors & tumour microenvironment (TME) to identify cancer driving mutations & design targeted treatments and real-time monitoring.

Genome profiling

  • Somatic mutation analysis: Identify driver mutations and genomic alterations
  • Germline variant detection: Assess hereditary cancer risk factors
  • Tumor Mutational Burden (TMB): Build AI/ML models to correlate and quantify mutation load for immunotherapy decisions

 

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Lipid biopsy applications

  • Minimal Residual Disease (MRD) detection & ctDNA Analysis: Early cancer detection and monitoring, early detection at the level of molecular recurrence.
  • Treatment Response Monitoring: Custom models for assessment of therapeutic efficacy
  • Patient Stratification: Match patients to appropriate therapies based on ctDNA profiles.
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Solution area

NGS for for disease studies & clinical decision support

Precision medicine with AI-powered genomic analysis and real-time clinical intelligence

NGS Analysis

  • Identify likely genetic causes of rare and hereditary conditions
  • Prioritize variants based on clinical relevance using machine learning algorithms
  • Integrate structural variant (SV) analysis for comprehensive genomic assessment
  • Identify biomarkers from transcriptomics data analysis
  • Multi-omics analysis

AI powered analytics

  • Build models for phenotype correlation, treatment response, risk prediction etc.

Knowledge integration

  • Incorporate latest research findings and clinical trial data
  • Access continuously updated databases
  • Link genomic findings to treatment options and clinical guidelines
  • Generate customizable clinical reports with actionable insights

One platform for all your NGS data analysis needs

Explore sample analysis workflows and customize your pipeline with us

Single-cell-transcriptomics

  • Processing raw FastQ inputs
  • Adapter removal, trimming, and filtering
  • Read alignment and count generation
  • Extensive QC with customizable parameters
  • Post-processing with normalization and dimensionality reduction
  • Cell clustering and annotation
  • Differential gene expression and enrichment analysis

Bulk RNA sequencing

  • Raw data processing and QC
  • Gene expression quantification
  • Statistical analysis with differential expression
  • Network analysis of top hub genes
  • Pathway and gene enrichment analysis
  • Customizable visualization options

Long-read DNA sequencing

  • Specialized workflows for Oxford Nanopore and PacBio data

  • GxP-compliant platforms for regulatory requirements

  • Demultiplexing and alignment

  • Truncation and coverage analysis
  • Plasmid validation and contamination detection
  • Chimeric read identification
  • SNP calling and structural variant detection
  • High-resolution genome integrity assessment

Amplicon sequencing

  • Tailored for directed evolution and targeted applications:
  • High-throughput processing of amplicon libraries
  • Advanced error correction algorithms
  • Enrichment score computation
  • Interactive visualization of variant distributions
  • Cross-experiment comparisons
  • Sequence-function relationship analysis

Whole genome sequencing

  • Detection of SNVs, CNVs, and structural variants
  • High-performance computing optimization
  • Integration with large reference datasets
  • Variant effect prediction
  • Support for GWAS/PheWAS analysis
  • Proteomic risk scoring and disease stratification

Specialized custom pipelines

  • Fusion and truncation analysis
  • T-cell receptor (TCR) repertoire profiling
  • Epigenetic analysis (ChIP-seq, ATAC-seq, Methyl-seq)
  • Cancer multi-omics integration
  • Rare disease analysis workflows
  • Autoimmune disease-specific pipelines

Technical highlights

Enterprise-grade infrastructure

  • Support for major workflow management systems (Nextflow, Cromwell etc)
  • Containerized applications 
  • Scalable compute resources for high-throughput analysis

Advanced Computing Capabilities

  • GPU acceleration for compute-intensive AI applications
  • Warm start capability for faster iteration

Deployment options

  • Private cloud installation (AWS, Azure, GCP)
  • On-premises HPC environment integration

Discover our offerings across the biopharma value chain

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Case Studies

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