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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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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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When to Use AirFlow vs NextFlow for Pipelines

When to Use AirFlow vs NextFlow for Pipelines

Explore the advantages and practical scenarios for using Apache AirFlow and NextFlow for data pipelines. This article delves into how AirFlow excels in managing complex workflows, orchestrating ETL jobs, and supporting machine learning data preparation on AWS, while also highlighting the capabilities of NextFlow for scientific workflows.

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Avoiding Biotech Data Team Delays – A Review

Avoiding Biotech Data Team Delays – A Review

by Scott Scheirey In between work, bombing ski runs and taking my dog out to play, I had the opportunity to read Jesse Johnson’s recently released Leading Biotech Data Teams. His message really hit home for me, and if you’re interested in early-stage biotech research,...

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