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Webinar

Reducing time to science: How accessible, touchscreen-enabled automation makes NGS library preparation plug and play

 

On-demand Webinar

 

Automating NGS library prep is a critical part of optimizing workflows in genomics labs. As the cost and efficiency of sequencing has improved, the process of library preparation has largely failed to improve in parallel, largely due to the significant hands-on time and complexity involved in the process. Automation offers a compelling solution to this challenge, but there are still barriers with creating and verifying automated protocols, and making the day-to-day running of protocols accessible to all lab personnel.

Access this webinar to learn:
  • How to fully automate NGS library prep
  • How the new features of the Opentrons Flex transform this workflow
  • How to eliminate scientist-to-scientist variations in library prep with automation
Who should watch:
 
  • Anyone who missed our talk at SLAS EU
  • Anyone looking to improve their NGS library prep workflows with automation
  • OT-2 users looking to upgrade to the Opentrons Flex

Access now

Speaker

Jon Brennan-Badal

Jon Brennan-Badal

Chief Executive Officer, Opentrons Labworks

Jon Brennan-Badal is the CEO of Opentrons Labworks. Previously, he worked at Amazon as the VP of Strategy for comiXology (exited to Amazon in 2014). Prior to comiXology, Jon was an analyst at early-stage VC Rose Tech Ventures. He graduated from Columbia University. Jon is on the board of CDI Laboratories, Inc.

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Kinnari Watson

Scientific Director, Opentrons Labworks

Kinnari is Scientific Director at Opentrons, where her team works cross-functionally to develop robots, modules and software for lab automation. They also verify automation protocols for assays across genomics, protein-based and cell-based applications. Kinnari studied Biology at Spelman College and has a PhD in Molecular Biology from Princeton University. Her PhD work centered on comparative microbial genomics and elucidation of genetic interactions between ALT and mismatch repair pathways.