Home >
Partner with PTP to automate your infrastructure and unlock faster, more reliable delivery across hybrid cloud environments. Contact us today to get started. Scale Smarter, Not Harder Let PTP help you modernize your infrastructure and reduce downtime. Schedule a free...
PTP Solves: Migrating AWS Lambda Runtimes for Secure, Compliant Biotech ApplicationsAs biotech and pharmaceutical research organizations increasingly adopt cloud-based solutions to accelerate data processing and analysis, the tools that support these workflows must...
Discover the key aspects of mastering AI architecture in the life sciences industry with expert insights from Aaron Jeskey, Senior Cloud Architect at PTP. This blog post explores the innovative approaches and strategies used to leverage AI for scientific advancements.
PTP joins with John Conway of 20/15 Visioneers to discuss the path for AI in Life Sciences. 2023 and 2024 have brought AI into almost every technology conversation. In most instances, the AI discussion is about "how can we harness the value in the future"? For drug...
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.
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.
Discover how Benchling and PTP CloudOps can overcome data management challenges in life sciences by standardizing and optimizing scientific workflows.
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.
PTP Cloud Architect Aaron Jeskey shares how life sciences teams can optimize high-performance computing (HPC) environments on AWS for security, speed, and compliance.
