Are you tired of jumping between different tools to extract, transform, cleanse, and visualize your data? Are you looking for a better way to streamline your computational biology workflow and make data-driven decisions with confidence? Look no further than GLUE, the all-in-one solution for computational biologists.
GLUE is the result of understanding hundreds of bio workflows and listening to the feedback of thousands of computational biologists. With Glue, you can easily extract, transform, cleanse, and visualize your data from Benchling, Airtable, Notion, legacy ELN, and LIMS, all in one place. And with Scispot's powerful ML and AI capabilities, Glue can help you transform and cleanse your data based on your registry, notebook entries, and CRO data, giving you the confidence to make data-driven decisions with ease.
But Glue doesn't stop there. With Scispot plumbing, you can build your own executables and customize your workflow to meet your specific needs. GLUE also allows you to programmatically publish your results to the protocols, connect your metadata from Benchling with your data, and use Jupyter hub in Scispot to trigger events directly from your notebook using a GUI.
Here are some popular use cases for GLUE:
Programmatically publish your results to the protocols: With GLUE, you can easily publish your results to the protocols programmatically. This makes it easy for you to share your findings with collaborators and streamline your workflow.
Connect your metadata from Benchling with your data: GLUE allows you to connect your metadata from Benchling with your data, enabling you to quickly and easily access the relevant experiments and protocols that are associated with your data output from plate readers and other sources.
Use Jupyter hub in Scispot to synchronously or asynchronously trigger events directly from your notebook using GUI: With GLUE, you can leverage the power of Jupyter hub in Scispot to trigger events directly from your notebook using a GUI. This feature allows you to work more efficiently and effectively, saving you time and helping you get more done in less time.
Set up data cleansing rules and flags after the data is extracted and cleansed: GLUE makes it easy to set up data cleansing rules and flags after your data has been extracted and cleansed. This ensures that your data is accurate and reliable, and that you can confidently make data-driven decisions based on your results.
"GLUE is a must-have tool for computational biologists working with Benchling," said Jason, Scispot's Strategy Advisor. "We've listened carefully to the feedback of thousands of computational biologists, and we've built a solution that is tailored to their specific needs. With Glue, you can streamline your workflow and make data-driven decisions with confidence. We are excited to see the amazing things that our users will do with Glue, and we look forward to continuing to innovate and push the boundaries of what's possible in computational biology."
Glue is available now, and we invite computational biologists everywhere to try it out and see the difference for themselves. With GLUE, you can work smarter, not harder, and take your computational biology work to the next level.
To learn more about GLUE, join our LinkedIn event on April 12th at 11 AM PT. You'll have the opportunity to connect with other computational biologists and gain access to the product. We can't wait to see you there!
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