Genomic Analysis Platform

From sequencing readsto interpretable variants

Analyze FASTQ data, annotate variants, apply evidence-guided classification, and generate traceable reports in one secure genomic workspace.

$ atgcflow analyze \
--input sample_R1.fastq.gz sample_R2.fastq.gz \
--reference GRCh38 \
--workflow wes
Reproducible analysis workflowsEvidence-guided variant interpretationEncrypted storage and controlled access
Book a Demo

No credit card required · 2 free analysis runs each month · Setup in minutes

app.atgcflow.com/workspace/pipelines
NA12878_wesCOMPLETED
HG002_panelRUNNING

NA12878_wes

Whole exome · Paired-end · 42.3M reads

Running
Quality Control
Alignment
Variant Calling
Annotation
ACMG Classification

Report generates automatically

Structured TSV + PDF on completion

  • FASTQ / BAM / VCF workflows
  • Reproducible run records
  • Variant annotation
  • Exportable reports
  • Encrypted storage

Built for the teams behind Genome analysis

Academic Medical Centers
Diagnostic Laboratories
Genomics Research Labs
Biotech R&D Teams
Academic Medical Centers
Diagnostic Laboratories
Genomics Research Labs
Biotech R&D Teams

Genomics pipelines weren't built to move fast — most are still hand-assembled.

Aligners, callers, annotators, and a lab's own scripts, stitched together run after run. The cost shows up as hours nobody planned for.

Fragmented tooling

Aligners, callers, annotators, and custom scripts get stitched together by hand for every run, with no shared source of truth across the team.

Slow manual review

Cross-referencing every variant against clinical significance, population frequency, and disease-gene knowledge bases to apply ACMG criteria consistently takes hours a lab can't always spare.

Infrastructure overhead

Each lab re-solves compute, storage, and reproducibility from scratch instead of focusing on the science.

From FASTQ to a classified report - one ATGCFLOW, start to finish.

Quality control, alignment, variant calling, annotation, and ACMG/AMP-aligned classification run as a single orchestrated workflow - so your team reviews results instead of assembling the pipeline.

One reproducible pipeline

Every stage runs through a single orchestrated workflow - no manual handoffs between tools.

Evidence-based classification

Every ACMG call lists the exact criteria met (PVS1, PM2, PP3...) and why.

Cross-checked results

Automated classifications can be checked against an independent classification engine.

Encrypted by default

Uploaded reads and results are protected with encrypted storage and access controls.

Before vs. after ATGCFLOW

Manually chaining alignment, calling, and annotation scripts

One run, fully orchestrated

Cross-referencing databases by hand per variant

ACMG/AMP evidence applied automatically

Ad hoc file storage, no access controls

Encrypted, access-controlled storage by default

Wherever you sit in the workflow - the platform meets you there.

Whether you're running a research study, supporting a clinical workflow, or operating shared sequencing infrastructure - here's where to start.

Researchers

Run batch analysis for population studies, novel variant discovery, and biomarker research on standardized, reproducible pipelines.

  • Batch processing of multiple samples
  • Custom gene panel filtering
  • Export ready for publication
More for Researchers

Clinical & Diagnostic Labs

A research-use pipeline for rare disease and cancer genomics workflows, with ACMG/AMP-aligned classification and structured reporting.

  • ACMG/AMP 2015 evidence-based classification
  • Structured, exportable variant reports
  • Encrypted storage & access controls
More for Clinical & Diagnostic Labs

Core Facilities & Bioinformatics Teams

Plug WES analysis into existing infrastructure with consistent, auditable pipeline runs from raw FASTQ to classified variants.

  • Reproducible, auditable pipeline runs
  • Best-practices alignment & variant calling
  • Job tracking and downloadable artifacts
More for Core Facilities & Bioinformatics Teams
Platform Capabilities

Everything the workflow needs.

01 — Pipeline

Automated Pipeline

Orchestrated QC through variant calling, with no manual handoffs between stages.

  • Reproducible, auditable runs
  • Scatter-gather parallelization
  • Resumes from any failed step
pipeline.runSample data
FASTQQueued
QCQueued
AlignmentQueued
Variant CallingQueued
VCFQueued
02 — Annotation

Multi-Source Annotation

Every variant cross-referenced against population, clinical, and functional sources.

  • Population frequency data
  • Clinical significance
  • Functional impact predictions
variant_table.tsvSample data
GeneVariantConsequencePopulation frequencyReview state
BRCA1c.5266dupCFrameshiftRareReview required
TP53c.743G>AMissenseRareReview required
03 — Classification

ACMG Classification

Every call evaluated against ACMG/AMP evidence criteria, with the underlying reasoning shown.

  • Evidence-based scoring
  • Independent cross-check engine
  • Manual override, always
evidence_review.jsonSample data
  • Population evidence
  • Computational evidence
  • Functional evidence
  • Clinical database evidence
  • Literature evidence
Evidence statusRequires expert review
04 — Review

Interactive Genome Browser

Inspect reads, coverage, and calls without leaving the platform.

  • Real-time BAM/VCF viewing
  • Coverage depth visualization
  • Multi-sample comparison
genome_browserSample data
chr17:43,044,295-43,125,364BRCA1

Coverage depth

Read alignment

variant

Position on chromosome 17

Whole Exome Sequencing, live today

Research beta focuses on WES end-to-end. Additional assay types below are on the product roadmap - not available in the workspace yet.

Available

Whole Exome Analysis

Paired-end exome from FASTQ through variant calling, annotation, and research classification.

Assay roadmap

Planned expansions - not shipped. Contact us if a specific assay matters to your lab.

Roadmap

CNV Analysis

Copy-number signals from exome or panel depth profiles.

Roadmap

Somatic Cancer

Tumor-aware variant analysis for research oncology studies.

Roadmap

RNA-seq Expression

Bulk transcript quantification and differential expression.

Roadmap

scRNA-seq

Single-cell expression and clustering for research datasets.

Roadmap

Long-Read Sequencing

Structural-variant-aware analysis for long reads.

In development

AI-assisted interpretation is coming to ATGCFLOW

We're building AI-assisted variant interpretation as a research-use capability, currently under active evaluation for reproducibility and privacy safeguards before it ships. Nothing below is live yet - here's what's on the roadmap.

Pipeline configuration assistance

Suggest sensible parameters for your sample type instead of hand-tuning config files.

Variant prioritization

Surface the variants most likely to matter for a given phenotype or gene panel.

Report drafting

Draft narrative summaries for review, grounded in the classified variant evidence.

Literature-grounded reasoning

Pull relevant literature context into variant review instead of manual lookups.

Pipeline Transparency

By the numbers

Every run measured the same way, against the same best-practices workflow.

0
Pipeline Steps
QC to annotated, classified variants
2-4h
Turnaround
FASTQ to final report
0x+
Coverage
Mean target depth supported
0+
Databases
Annotation & classification sources

Built with clinical data in mind

Genomic and health data deserves infrastructure that treats security as a default, not an add-on.

Encrypted storage

Uploaded reads and results are encrypted at rest and in transit.

Role-based access

Granular permissions control who can view, run, or manage jobs and data.

Audit logging

Every access and administrative action is recorded for review.

Configurable data retention

Available on the Clinical plan for teams with stricter data-handling requirements.

Simple, usage-based pricing

Start free. Upgrade when you need more throughput or faster turnaround.

Starter

₹0forever

2 WES analyses / month

  • Standard variant report (PDF)
  • ACMG classification
  • Email support
  • 12-hour turnaround
Most popular

Research

₹10,000/ month

15 WES analyses / month

  • Everything in Starter
  • Live chat support
  • 8-hour turnaround
  • Genome browser & custom gene panels

Clinical

₹40,000/ month

60 WES analyses / month

  • Everything in Research
  • 2-4 hour turnaround
  • Configurable data retention
  • 99.9% uptime SLA

Frequently asked questions

Typical turnaround is 2-3 hours per sample on our standard infrastructure, from FASTQ upload to a completed, classified report - faster with a Clinical plan's priority queue.

Get Started Today

Ready to analyze your Genome data?

Start with two free analysis Samples per month - no credit card required.

Talk to us