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Code Ocean Announces Game Changing Automated Pipeline Builder to Seamlessly Connect Multiple Process Modules for Computational Science Experiments

Code Ocean, the developer of a novel computational research laboratory in the cloud, announced Visual Pipeline Builder, an automated pipeline tool that allows researchers across scientific disciplines to rapidly connect multiple process modules in Code Ocean’s computational environment. This tool has game-changing potential for research in genetics and other fields by eliminating manual Nextflow scripting with a simple drag-and-drop interface that automates the authoring of complex workflows. With no code required, any collaborator can use Visual Pipeline Builder for significantly more efficient research, including the ability to readily swap modules or adjust parameters within individual capsules if a different methodology is needed at any step.

“Code Ocean continues to innovate on our Computational Lab to accelerate scientific research and ultimately improve future outcomes for human health,” said Simon Adar, Co-founder and CEO, Code Ocean. “Traditionally, scientists must hand-write scripts to launch complex, parallel analysis in the cloud. The Visual Pipeline Builder creates an HPC experience in the cloud with a simple, graphical interface. We’ve created another element to automate cloud and computing technologies to open the power of the cloud and large scale, parallel computing for scientists.”

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Researchers need not have expertise in Nextflow or AWS Batch, for example, rather they can easily create Code Ocean Compute Capsules, then ‘wire’ them together in a seamless manner. Code Ocean is freeing-up researchers to focus on science, rather than requiring tangential expertise that distracts from their core discovery goals, and wastes valuable time.

Frank Zappulla, Code Ocean’s Head of Scientific Computing, will demonstrate an RNAseq workflow implemented in a Code Ocean pipelinefrom raw reads to counts matrix using FastQC, Cutadapt, Trim Galore, and STAR. He’ll show how pipelines make this complex analysis easy to organize, configure, and adjust, with sequentially connected data assets and capsules with easily-managed compute resources.

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