In today’s research and clinical environments, the complexity of bioinformatics workflows can be a major barrier to efficiency. These workflows often involve multiple steps, varied input and reference files, and integration with external systems such as cloud storage or LIMS. Managing these processes manually is time-consuming and error-prone, especially in high-throughput or regulated settings where reproducibility and consistency are critical.
Velsera RHEO is a solution to these issues. RHEO is more than an automation tool – it’s a new way of thinking about how bioinformatics workflows should operate. Named after the Greek word rheos, meaning “stream” or “flow,” RHEO is designed to seamlessly connect the many moving parts of bioinformatics analysis into a single, push-button experience. It brings together data, tools, and infrastructure into a unified stream, allowing teams to move from raw input to actionable insight with speed, consistency, and confidence.
RHEO addresses these challenges by offering a robust automation framework built into the Velsera Seven Bridges Platform. It enables users to execute complex, high-volume analyses without the need for advanced computational skills. Whether you’re designing workflows or simply need results, RHEO provides a secure, intuitive interface that adapts to your needs. By standardizing execution and minimizing manual steps, it reduces errors, accelerates timelines, and ensures that analyses are performed consistently every time – ideal for your highly regulated workflows.
One example of RHEO in action is an end-to-end automation developed for a clinical diagnostics lab operating under CLIA regulations (illustrated below). This solution integrates directly with the lab’s sequencer and cloud storage, applies smart conditionals based on sample metadata, and supports multi-cloud processing to ensure resilience and speed. The automation monitors execution in real time, reroutes tasks in case of delays, and exports results back to the client’s infrastructure. It also includes proactive task monitoring, personalized notifications, and fine-grain billing to support operational transparency. It’s critical to note that this is a completely hands-off automated solution – there is no need for a user to complete any complicated manual steps such as setting file metadata or specifying compute parameters. This is truly a push-button process.
