Recent News On-ramping to the cloud

AnVIL: Migrate Your Genomic Research to the Cloud Getting Started with AnVIL including a guided walk-through of the AnVIL / Terra documentation with a focus on onboarding and preparing new users to run genomic analyses in the cloud. Read full article Secure Migration of Sema4's Genetic Analysis Pipeline to AWS This Ness case study describes how Sema4's genome-sequencing application was securely migrated to the AWS Cloud. Read full article Tambellini Group: Harnessing Cloud Computing to Accelerate Scientific Research with Noora Siddiqui, Cloud Engineer, Baylor College of Medicine Baylor College of Medicine’s Human Genome Sequencing Center is at the forefront of leveraging scientific research for the cloud, and self-taught Cloud Engineer Noora Siddiqui is largely responsible for leading this progress. Noora joins the Top of Mind family this month to share her insights on how cloud migration is revolutionizing precision medicine, including the ability to calculate individuals’ risk of disease through combining data from genomic information and medical records. Listen to podcast

Gartner: Migrating to the Cloud: Why, How and What Makes Sense? Successfully migrating workloads to the cloud means delivering maximum benefits with minimal effort and costs. Read full article  AWS: How to migrate, modernize, and grow using the AWS MAP AWS has helped hundreds of thousands of businesses migrate and modernize their digital operations through the AWS Migration Acceleration Program (MAP), a proven framework for cost-efficient, resilient, and agile transformation. In this session, Faraz Shafiq, AWS Global Head for MAP, shares what makes the MAP so successful—specifically, how it’s designed to support businesses not only as they migrate to AWS but also beyond, as they embrace new technologies, modernize digital operations, and look toward the future. Krishna Srinivasan, Director of Cloud Architecture and DevOps at United Airlines, joins Faraz to share how the MAP continues to help one of the world’s largest airlines better serve their customers. Watch Video

TechRepublic: Top cloud and application migration tools From reducing downtime to the best free option, we review the top cloud and application migration tools. Read full article

Recent News Ramping-up in the cloud

NetApp: Cloud Cost Management Insights from the 2022 Cloud Infrastructure Report The 2022 Cloud Infrastructure Report found that many companies lack the confidence in their cloud purchasing strategies. Read on for cost management insights and learn more about the state of cloud infrastructure. Read the article and download the report Broad Institute: Genomics in the Cloud With this practical book, researchers will learn how to work with genomics algorithms using open-source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. Read the book AWS: Genomics Data Transfer & Storage in the Cloud Listen to Dr. Lisa McFerrin, senior bioinformatician with the AWS HCLS WW Business Development team, discuss Genomics Data Transfer & Storage in the Cloud, including the challenges of the size, scale and management of genomic data, AWS initiatives in the genomics space with customer use cases of transferring and storing data, as well as the services and capabilities that AWS provides to solve for these challenges. Watch the video

AWS: Analyzing Genomic Data using Amazon Genomics CLI and Amazon SageMaker Given the incredible size of genomics datasets, customers need tooling and workflows that leverage the cloud to scale efficiently and cost effectively. In this blog post, the authors demonstrate how to leverage AGC and Amazon SageMaker to analyze large-scale exome sequences and derive meaningful insights. Read full article Fierce BioTech: Reducing costs for cloud-based genomic analysis and molecular dynamics in the cloud The shift from on-premises to the cloud requires a change in the way HPC costs are thought about. Switching to operational, pay-as-you-go pricing means that price-performance characteristics now becomes a key focus at the workload level, as opposed to the system level for long-term capital purchases – particularly for large workloads such as these. How do you secure maximum value for every dollar spent? Read full article