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How Terraform on AWS Streamlined Data Pipelines and Enhanced Research Validation

How Terraform on AWS Streamlined Data Pipelines and Enhanced Research Validation

In the high-risk domain of biotechnology, PTP partnered with a life sciences client to automate critical data pipelines using AWS, Terraform, and Nextflow, ensuring research validity, cost optimization, and operational efficiency. This collaboration led to the implementation of automated, repeatable, and secure workflows, allowing the client to focus on advancing scientific discovery and improving patient outcomes.

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Bioinformatics Pipeline Automation and Optimization via AWS and PTP

Bioinformatics Pipeline Automation and Optimization via AWS and PTP

In this presentation, Scott Scheirey, Scientific Partner Advisor at PTP, addresses common challenges faced by computational biologists in optimizing bioinformatics workflows. He highlights the use of AWS Batch, Nextflow, and Airflow to enhance pipeline efficiency, reliability, and speed. Scheirey explains how these tools can help process large volumes of genomic data more quickly and cost-effectively, ultimately supporting research validation and clinical trials.

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Mastering Sustainability with the AWS Well-Architected Framework

Mastering Sustainability with the AWS Well-Architected Framework

Embrace sustainability with the AWS Well-Architected Framework, which includes a dedicated pillar for sustainability alongside operational excellence, security, reliability, performance efficiency, and cost optimization. This framework guides life sciences companies in building eco-friendly, efficient, and secure cloud infrastructures. PTP partners with AWS to help businesses implement sustainable cloud strategies, leveraging carbon-neutral data centers and renewable energy initiatives to reduce their environmental impact while optimizing costs and operations.

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