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Maximize efficiency and flexibility in data analysis with Nextflow
Join us for this exclusive webinar and explore the synergy between two innovative technologies to streamline your laboratory workflows, whilst accelerating data analysis. The Seven Bridges Platform optimized by the Nextflow tool from Velsera can improve pipeline performance, reduce execution times, and reduce operational costs by cutting cloud computing expenses by as much as 70–90%.
Hear directly from the CSO of Velsera, Dr. Jack DiGiovanna, who will share the operational capabilities and benefits of Nextflow when integrated with Common Workflow Language (CWL) workflows. This flexible platform is compatible with various cloud environments such as, Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure and therefore will seamlessly integrate into any laboratory for analysis of diverse and multi-modal datasets. Whether you are looking to improve efficiency or reduce costs, this webinar will provide valuable insights into how to enhance your workflows for large-scale data analysis.
Key learning objectives
- Discover a platform that leverages scalability by executing workflows with up to 3,500 parallel instances, even with a limited budget
- Optimizing workflow orchestration, including multi-instance execution, process instance hints, and memorization to improve pipeline performance
Who should attend?
- Researchers, bioinformaticians, and data scientists
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
Speakers
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Dr. Jack DiGiovanna is the Chief Science Officer at Velsera, overseeing Scientific Program Management and Researcher Education & Adoption teams. He leads the company’s scientific strategy across government, non-profit, biotech, pharma, and diagnostic sectors. Dr. DiGiovanna specializes in building consensus, fostering trust, and translating complex scientific concepts for diverse audiences, from students to executives. With a PhD in machine learning and years in translational research, he has advanced NIH biomedical data ecosystems and global initiatives like the ZERO Childhood Cancer Flagship. His goal is to empower researchers, improve data access, and positively impact patients.
Moderator
