Mastering AWS: Genomics Using Cloud Computing

Unlock the power of AWS for genomic data analysis. Learn to build scalable, cost-effective bioinformatics pipelines in the cloud to process vast datasets faster and more efficiently than ever before

Webinar Recorded All Levels Dr. Omics
Language English
Level All Levels
Updated Feb 2026
Mastering AWS: Genomics Using Cloud Computing

Course Description

This comprehensive course provides researchers, bioinformaticians, and data scientists with the essential skills to leverage Amazon Web Services (AWS) for genomic data management and analysis. You will move beyond the limitations of local workstations, learning to harness the cloud for large-scale bioinformatics workflows . The curriculum begins with the fundamentals of cloud infrastructure, guiding you through launching and configuring EC2 instances specifically optimized for genomic compute tasks . You will master secure data storage solutions using Amazon S3 for petabyte-scale genomic datasets and explore cost-optimization strategies . The course emphasizes practical skills, including running Next Generation Sequencing (NGS) analysis, implementing variant calling pipelines, and using containerization with Docker for reproducible research . By the end, you will be proficient in designing end-to-end, scalable, and secure genomics pipelines on the AWS Cloud, applicable to fields like precision medicine and population genomics

What You'll Learn

How to design and deploy scalable genomic analysis pipelines on AWS.

Best practices for storing, managing, and securing large genomic datasets (FASTQ, BAM, VCF) in the cloud .

Techniques to launch and configure compute instances for high-performance bioinformatics workloads .

Methods to automate variant calling and other NGS analysis workflows .

Strategies to monitor and optimize cloud costs for genomics research.

Curriculum

  • How to design and deploy scalable genomic analysis pipelines on AWS.
    Lesson
  • Best practices for storing, managing, and securing large genomic datasets (FASTQ, BAM, VCF) in the cloud .
    Lesson
  • Techniques to launch and configure compute instances for high-performance bioinformatics workloads .
    Lesson
  • Methods to automate variant calling and other NGS analysis workflows .
    Lesson
  • Strategies to monitor and optimize cloud costs for genomics research.
    Lesson
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