Automation and data connectivity in labs are creating 'haves' and 'have-nots' in the biotech space. There are no guides for putting together the right data infrastructure, nor for investing your resources in data technologies. Modern biotech companies often have significant firepower in bioinformatics, but neglect their wet laboratory activities or focus exclusively on work cells.

Customization is crucial for modern biology. What if we could apply this not only to design new therapies, but also to build the right infrastructure that unlocks the full potential of your laboratory data? Watch our co-founder Nathan Clark introduce Ganymede's new Lab-as-Code approach at this year's @synbiobeta4892 conference. Scientists can now leverage automation for their data processing by connecting wet lab tests with ELNs, LIMS and analytical software. Nathan also discusses the lessons learned from the practical work we've done with companies at the cutting edge of R&D data innovation.

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