Biostartups are adaptable, fast growing, and always changing as they race to create new products or technology to improve or save human lives. Startups need to be agile to survive. Therefore, every biostartup has its own workflows and lab data management needs. Yet, most lab information management systems (LIMS) and electronic notebooks (ELNs) are hard-coded with rigid templates that scientists cannot customize. Scientists have to adapt to their LIMS when it should be the opposite.
Build your own customized, connected lab information management system
After working with hundreds of biostartups, we realized that your lab workflows are not that simple. Hard-coded rigid LIMS do not work for the industry. So Scispot went on a journey to get rid of hard-coded LIMS and build a new-generation LIMS for configurable workflows. That means you can define your data dictionaries, workflows, sample tracking, inventory management, and data management systems using Scispot’s no-code, fully configurable LIMS alternative, called LabSheets.
You no longer have to adapt to your LIMS or ELN. With Scispot, your LIMS will adapt and grow with you.
Enjoy simple, user-friendly programming for biostartups
This week, we launched LabSQL, a new addition to our Data Science Toolkit. LabSQL is an adaptable, user-friendly programming tool for both scientists and data engineers. LabSQL includes a suite of programming apps, such as Open API and Jupyter Notebook connector, that biostartups can use to design their own workflows, rather than trying to retrofit a hard-coded LIMS or ELN. Biostartups can use LabSQL to connect data from hundreds of sources, including lab equipment, collaborators, and 3rd-party apps, and automatically convert them into customized relational databases using LabSheets.
LabSQL adapts to the needs of both scientists and data engineers - you can choose to use a graphical user interface (GUI) and/or a command-line interface.
Connect your samples, inventory, data, and experiments
“With Scispot you can easily use different LabSheets to design your own materials manager, for example, a DNA sample manager. You can then use LabSQL to join your LabSheets together and make different connections between your DNA, RNA, and peptide samples, experimental protocols, and various data and metadata from all your related experiments,” said Satya Singh, co-founder and President, Scispot.
With LabSQL, biostartups can:
· automate workflows
· connect various samples, experimental protocols, and data and metadata from many different experiments
· facilitate collaboration between bench scientists and computational scientists
· visualize patterns and highlight any deviations or out-of-specifications
· fully exploit the value of your data
· troubleshoot failed experiments
Request a demo to learn more about how LabSQL can help you build a personalized biostartup lab information management system.
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