Intelligent Infrastructure for Modern Genomic Analysis
ATGCFLOW is a genomics analysis platform built to simplify how genomic data is processed, analyzed, interpreted, and reported. Instead of requiring users to assemble bioinformatics software, computational infrastructure, databases, and analysis workflows themselves, ATGCFLOW brings these capabilities together in a single environment. Research use only.
Founder & Scientific Advisor
The people behind ATGC Flow
Dr. Prabudh Goel
Professor of Paediatric Surgery, All India Institute of Medical Sciences (AIIMS), New Delhi
MCh (Paediatric Surgery, AIIMS, New Delhi) · PDCR (Professional Diploma in Clinical Research) · FICS, FISPU, FIAPS, FMAS, FICRS, FSPU, FEpBio(UNSW), FALS, FAIS, FIAGES
Member, National Guideline Development Group, Department of Health Research, Ministry of Health and Family Welfare, Govt. of India
Chairman, Research and Innovation Pediatric Surgical Society, 2024-25
EC Member, Society of Pediatric Urology, Indian Association of Paediatric Surgeons (SPU-IAPS), 2026-28
EC Member, Indian Association of Paediatric Surgeons, 2023-25
EC Member, Association of Paediatric Surgical Oncology, 2023-24
Our Mission
Our focus is simple: make sophisticated genomic analysis easier to access while maintaining reproducibility, transparency, and scientific rigor. ATGCFLOW is designed around a straightforward experience — upload data, run analysis, annotate, interpret, and report — all from the same platform.
Our Vision
We are building toward a future where genomic analysis can move efficiently from raw data to interpretable research results — a platform that combines scalable computation, evolving genomic knowledge, Artificial Intelligence, and human expertise, rather than leaving these as disconnected pieces of infrastructure.
What You Can Do With ATGCFLOW Today
Upload data, run analysis, annotate, interpret, and report — all from one platform
Whole Exome Analysis
ATGCFLOW currently supports paired-end exome FASTQ analysis through an end-to-end workflow covering alignment, variant calling, annotation, and research classification.
Variant Reanalysis
Existing VCF data can be submitted for re-annotation and re-classification using updated genomic knowledge bases, so previously generated variant data can be evaluated again as genomic knowledge evolves.
AI With Experts in the Loop
We are developing AI-assisted capabilities to help organize genomic evidence, prioritize variants, and accelerate report generation — following a human-in-the-loop model where AI assists researchers, not replaces expert judgment.
Designed for Reproducible Genomic Research
Genomic analysis involves more than running a sequence of computational steps. It requires appropriate computational resources, genomic reference data, annotation resources, evolving biological knowledge, and reliable handling of analysis results. ATGCFLOW brings these elements into a unified platform.
Reproducibility — analysis workflows are designed to provide consistent, traceable processing across datasets
Scalable computation — the platform is designed to handle computationally demanding genomic workloads through scalable infrastructure
Continuously evolving knowledge — reanalysis capabilities allow existing data to be evaluated against newer genomic databases and evidence
AI-assisted workflows — Artificial Intelligence assists with evidence organization, prioritization, interpretation, and reporting, while keeping human expertise in the loop
One Platform for the Analysis Journey
ATGCFLOW is designed to remove unnecessary complexity from the user's side of genomic analysis
Expanding Beyond Exome Analysis
ATGCFLOW is being developed as a broader genomics platform, with additional capabilities planned across multiple sequencing and molecular technologies — including CNV analysis, targeted gene panels, trio exome, whole genome sequencing, somatic cancer, RNA-seq, and more. Roadmap capabilities are not represented as runnable analyses unless explicitly marked available within the platform.
A Unified Workspace
Rather than manually coordinating different analysis tools, computational environments, annotation resources, and reporting processes, users interact with a single workspace: submit data, choose the analysis, follow the computation, explore the results, and generate the report.
Get in Touch
Have questions about the Products, want to report an issue, or interested in collaborating? Reach out - we read every message.
Contact UsExplore ATGCFLOW
Discover the platform, start an available analysis, or learn more about our technology and upcoming capabilities.
ATGCFLOW is intended for research use only. Results generated by the platform are not intended to independently establish a clinical diagnosis or replace appropriate professional or laboratory review.