Best Genomics Data Analysis Software for Amazon Web Services (AWS)

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Compare the Top Genomics Data Analysis Software that integrates with Amazon Web Services (AWS) as of October 2025

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This a list of Genomics Data Analysis software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

What is Genomics Data Analysis Software for Amazon Web Services (AWS)?

Genomics data analysis software helps researchers and scientists analyze and interpret large-scale genomic data, enabling insights into genetic variations, mutations, and biological functions. It provides tools for processing raw genomic sequences, aligning them to reference genomes, and identifying significant patterns or mutations. The software often includes features like data visualization, statistical analysis, and integration with other biological datasets to support comprehensive research. By automating complex analyses, genomics data analysis software accelerates research workflows and improves the accuracy of genetic insights. Ultimately, it advances scientific discovery and personalized medicine by enabling a deeper understanding of the human genome and other organisms. Compare and read user reviews of the best Genomics Data Analysis software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.

  • 1
    Illumina DRAGEN Secondary Analysis
    The Illumina DRAGEN Secondary Analysis provides accurate, comprehensive, and efficient analysis of next-generation sequencing data. Graph reference genome and machine learning driving unprecedented accuracy. Provides ultra-efficient workflow; can fully process a 34x whole human genome in ~30 minutes with DRAGEN server v4. Furthers ultra-efficient workflow by reducing FASTQ file sizes up to 5×. Analyzes next-generation sequencing (NGS) data from whole genomes, exomes, methylomes, and transcriptomes. Available on platform of choice and scalable based on needs. DRAGEN analysis leads in accuracy for germline and somatic variant calling demonstrated in industry challenges from precisionFDA. DRAGEN analysis enables labs of all sizes and disciplines to do more with their genomic data. DRAGEN analysis uses highly reconfigurable field-programmable gate array technology (FPGA) to provide hardware-accelerated implementations of genomic analysis algorithms.
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  • 2
    BaseSpace Sequence Hub
    Data management and simplified bioinformatics for labs getting started and for rapidly scaling next-generation sequencing (NGS) operations. As a key component of the BaseSpace Suite, BaseSpace Sequence Hub is a direct extension of your Illumina instruments. Encrypted data flow from the instrument into BaseSpace Sequence Hub, enabling you to manage and analyze your data easily with a curated set of analysis apps. BaseSpace Sequence Hub is powered by Amazon Web Services (AWS). Offers a security-first environment. Enables you to set up runs and monitor instrument run quality. Promotes efficiency by converting sequencing data to a standard format and streaming directly to the cloud. Provides access to computing resources without the capital expenditure of in-house infrastructure. Increases organizational productivity with easy access to a multitude of genomic analysis apps (provided by you, Illumina, or third parties).
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  • 3
    AWS HealthOmics
    Securely combine the multiomic data of individuals with their medical history to deliver more personalized care. Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations. Accelerate research by using scalable workflows and integrated computation tools. Protect patient privacy with HIPAA eligibility and built-in data access and logging. AWS HealthOmics helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Store and analyze omics data for hundreds of thousands of patients to understand how omics variation maps to phenotypes across a population. Build reproducible and traceable clinical multiomics workflows to reduce turnaround times and increase productivity. Integrate multiomic analysis into clinical trials to test new drug candidates.
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  • 4
    NVIDIA Parabricks
    NVIDIA® Parabricks® is the only GPU-accelerated suite of genomic analysis applications that delivers fast and accurate analysis of genomes and exomes for sequencing centers, clinical teams, genomics researchers, and high-throughput sequencing instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians—enabling significantly faster runtimes, workflow scalability, and lower compute costs. From FastQ to Variant Call Format (VCF), NVIDIA Parabricks accelerates runtimes across a series of hardware configurations with NVIDIA A100 Tensor Core GPUs. Genomic researchers can experience acceleration across every step of their analysis workflows, from alignment to sorting to variant calling. When more GPUs are used, a near-linear scaling in compute time is observed compared to CPU-only systems, allowing up to 107X acceleration.
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