Use Cases
Drive your scientific engine at full speed
Data Scientists
Enable a lean internal team to focus on core scientific questions, without getting bogged down with the minutia of file backup, cloud dev-ops, and information management.
Data streams directly from the sequencing instrument to your cloud. Eliminate data silos by getting data out of local storage and into your data lake.
Leverage elastic pay-as-you-go cloud compute to scale quickly when needed and avoid up-front investment in on-premise infrastructure.
Automate demultiplexing, data archive, and downstream analyses with event-driven processing.
Lab Scientists
Streamlined and intuitive user interface makes it easy to organize large volumes of sequencing data.
Stay informed on sequencing progress with automatic emails.
Plan and organize large experiments requiring many sequencing runs.
Kick-off genomics workflows with a button-click.
Sequencing Experts
Optimize sample indexing to increase instrument utilization, throughput, and cost efficiency.
Detect and eliminate of samplesheet errors and index collisions
Raw data is immediately backed-up to the cloud, minimize time spent moving data between platforms.
Automate demultiplexing to FASTQ to accelerate downstream analysis
Bioinformaticians
Describe any experiment design with a flexible meta-data schema.
Location of data assets and associated meta-data can be retrieved with R and Python APIs, streamlining downstream analysis, facilitating integration in downstream processes.
Traceable data provenance and workflow versioning simplifies the task of creating written documentation of methods in reports and electronic notebooks.
Architect to leverage high-performance cloud data-centers with gigabit data transfer, specialized compute hardware, and infinite scalability.