Blog

Streamline mNGS analysis with Micronbrane Medical and Basepair on AWS

Streamline mNGS analysis with Micronbrane Medical and Basepair on AWSBy Gokhul Srinivasan, Charlie Lee, Kristi Ashton, Rajesh Sukumaran, and Simon Valentine on 09 APR 2025 in Amazon EC2, Compute, Life Sciences, Partner solutions   By Simon Valentine, Chief...

Why Beginners and Experts Alike Opt for Platforms in Genomics Infrastructure

Why Beginners and Experts Alike Opt for Platforms in Genomics InfrastructureWhen setting up a genomics infrastructure, teams across all skill levels—beginners, intermediates, and experts—often converge on surprisingly similar decisions. Whether the goal is to...

The Rise of SaaS in Bioinformatics: Navigating Cloud Pricing Models for Your Enterprise – Part 2

The Rise of SaaS in Bioinformatics: Navigating Cloud Pricing Models for Your Enterprise - Part 2 In our previous blog on the rise of Software as a Service (SaaS) in bioinformatics, we explored various cloud pricing models that are reshaping how organizations access...

Breaking Barriers in Platform Bioinformatics: The GPU-Accelerated Future With Intuitive Visual Interfaces That Ensures Data Remains In Place

Breaking Barriers in Platform Bioinformatics: The GPU-Accelerated Future With Intuitive Visual Interfaces That Ensure  Data Remains in PlaceHow Basepair is teaming with NVIDIA and AWS to put powerful yet easy-to-use genomics tools in researchers' hands without...

The Rise of SaaS in Bioinformatics: Navigating Cloud Pricing Models for Your Enterprise – Part 1

The Rise of SaaS in Bioinformatics: Navigating Cloud Pricing Models for Your Enterprise - Part 1 In recent years, the bioinformatics industry has witnessed a significant shift towards standardized cloud solutions offered by Software as a Service (SaaS) companies. This...

Life Before & After Basepair

Our team of bioinformaticians and developers have spent over 15 years conducting NGS data analysis before starting Basepair. During the ol' manual NGS data analysis days, there were some good times... and there was also plenty of frustration. Much of NGS data analysis...