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Advancing Rapid Genomic Data Processing with Cerbrec Graphbook: A Seek Labs Case Study

Advancing Rapid Genomic Data Processing with Cerbrec Graphbook: A Seek Labs Case Study

Overview


Seek Labs is a team of bold visionaries who have spent the last decade advancing point-of-care molecular diagnostic and programmable therapeutic technologies. The company recognized the need to optimize analysis of massive genomic datasets faster and more efficiently to accelerate their research and development efforts.


To address this challenge, Seek Labs implemented Cerbrec Graphbook, a high- performance computing platform that streamlines data processing automation and artificial intelligence workflows through a simple drag-and-drop interface. By combining custom templates with GPU-accelerated processing capabilities, Graphbook empowers Seek Labs to automate research and development processes.




Opportunity | Automating Research Using Cerbrec Graphbook


Seek Labs' therapeutics research team analyzes large-scale genomic data to design targeted therapeutic solutions. The complexity of their work requires advanced computational capabilities to maintain research accuracy.


Seek Labs’ existing approaches demanded extensive manual effort from researchers, impacting overall efficiency. To accelerate therapeutics research efforts, the company considered establishing a dedicated data science team–which required substantial investment in recruitment and onboarding, ultimately making it impractical given current resource constraints and project timelines


To overcome these constraints, Seek Labs identified the need for a scalable, efficient solution to transform and analyze their genomics data. The implementation of Cerbrec Graphbook provided their research team with an intuitive platform that streamlines data processing through its user-friendly interface, enabling researchers to accelerate their analytical workflows.




Solution | Accelerating Data Analysis With Optimized Graphbook Templates


Seek Labs developed customized templates in Graphbook to address their complex data processing requirements. This solution eliminated the need for manual data transformation, loading, and ingestion processes, allowing researchers to execute complex workflows through an intuitive visual interface.


Graphbook provided Seek Labs with seamless access to high-performance computing capabilities, removing the traditional barriers of GPU configuration and infrastructure management. This enabled researchers to focus on their core scientific objectives rather than technical setup.




Outcome | Empowering Research Innovation Through Automated Solutions


The impact on research efficiency has been substantial. The solution proved particularly valuable by allowing data science with billions of data points on GPU using drag and drop, dramatically reducing processing duration for complex datasets. Furthermore, the integrated batch processing template enables researchers to access initial results quickly, significantly accelerating scientific discovery.

Cerbrec Graphbook is bringing efficiency and automation to Seek Labs’ research initiatives, moving the company closer toward its mission to deliver accessible, high-impact healthcare solutions globally. 'Graphbook empowers Seek Labs to continue developing innovative healthcare technologies with speed and precision, enabling us to continue addressing critical patient needs,' said Jared Bauer, CEO of Seek Labs.




For more information about Cerbrec Graphbook's solutions for bioinformatics research, visit https://cerbrec.com/solutions or contact info@cerbrec.com.

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