Advanced International Journal for Research

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Scalable Cloud Architecture for Real Time Genomic Pipeline Processing

Author(s) Ms. Ishana Sandeep Bagaitkar, Ms. Bhagyashree Sanjay Kharat, Ms. Vedika Prashant Kadam, Prof. Iffat Kazi
Country India
Abstract Abstract—With the rapid growth of next-generation sequencing (NGS) technologies, the volume of raw genomic data has increased significantly, creating a need for scalable and automatedcomputational systems for efficient analysis. Traditional highperformance computing (HPC) systems often face limitations inscalability, flexibility, and real-time processing.This project presents a cloud-based, event-driven architecturefor automated genomic data processing using Amazon WebServices (AWS). The system enables users to securely uploadFASTQ files through a web-based interface, which are thenstored in Amazon S3. An event-triggered AWS Lambda functioninitiates a containerized bioinformatics pipeline executed on AWSECS Fargate.The pipeline integrates widely used tools such as FastQCand MultiQC for quality control, along with Ensembl VariantEffect Predictor (VEP) for genomic variant annotation. Processedresults are stored securely in cloud storage and made accessibleto users via pre-signed URLs. The architecture emphasizesscalability, cost efficiency, fault tolerance, and reproducibility.By leveraging serverless computing, containerization, andevent-driven workflows, the proposed system provides an efficient and production-ready solution for real-time genomic dataprocessing in a cloud-native environment.
Keywords bioinformatics, cloud computing, aws, docker, rest api, genomics
Field Computer Applications
Published In Volume 7, Issue 3, May-June 2026
Published On 2026-06-08
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E-ISSN 3048-7641
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