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Case Studies for Life Sciences IT

Real Success, Real Impact: Our Success Stories

Proven Results of the Power of PTP in Life Sciences

The official logo of Voyager Therapeutics features the word

Voyager Therapeutics achieved greater visibility and governance, along with a 25.4% month-over-month cost reduction in customer cloud spend.

Adaptive Phage Therapeutics enhanced pipeline process to significantly reduce time from 5-6 hours down to 1.15 hours to deliver actionable data faster.

Logo of The Clinics at Scranton Primary Health Care Center featuring a stylized medical cross and the center’s name.

Scranton Primary Health Care Center (SPHCC) experienced a 91% increase in patient encounters as a result of cloud migration and PTP managed services.

Check Out Our PTP Cloud and IT Case Studies

Case Study – Terraform on AWS for Automating Workflows

Case Study – Terraform on AWS for Automating Workflows

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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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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How Adaptive Phage Therapeutics Streamlined Data Pipelines with AWS Batch and Nextflow

How Adaptive Phage Therapeutics Streamlined Data Pipelines with AWS Batch and Nextflow

Adaptive Phage Therapeutics (APT) is advancing therapies to treat multi-drug resistant infections. Engaging PTP’s CloudOps team, APT transitioned their pipeline from SnakeMake to Nextflow on an AWS Batch environment, reducing runtime from 5-6 hours to 1.15 hours using 650 CPUs. This case study showcases how PTP optimized APT’s workflow for faster data processing and analysis.

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