Scispot Launches LabSQL Allowing Biostartups to Build and Customize their LIMS

By AIT News Desk On Oct 7, 2022

Scispot, a leading lab informatics company for biostartups, has added LabSQL to its Data Science Toolkit. LabSQL is a user-friendly programming tool that allows biostartups to create and update personalized workflows within a fully configurable lab informatics management system (LIMS). With LabSQL, using a command line interface (CLI), biostartups can connect data from hundreds of sources, including lab equipment, collaborators, and 3rd-party apps, and convert them into customizable relational databases.

Most LIMS are hard-coded with a set of rigid templates that scientists cannot change. In contrast, LabSQL offers a suite of apps, including Open API and Jupyter Notebook connector, as well as a graphical user interface (GUI) and command line interface (CLI) so that data engineers and scientists can continually build and adapt their own personalized LIMS. With LabSQL, biostartups can design workflows that suit their needs rather than retrofitting a hard-coded LIMS or electronic lab notebook (ELN).

“After working with hundreds of biostartups, we realized that hard-coded rigid LIMS do not work for growing biostartups with evolving workflows. So we built a new-generation LIMS with ELN extensions for configurable workflows. With LabSQL, biostartups can define their own data dictionaries, workflows, sample tracking, inventory management, and data management systems,” said Satya Singh, co-founder and President, Scispot.

Pollo AI Launches Video-to-Video Feature, Revolutionizing Creative AI Video Creation and Outshining Competitors

Dec 20, 2024

Backflip Releases AI Model That Turns Text Into Physical Reality, Backed By $30 Million from NEA and Andreessen Horowitz

Dec 20, 2024

Equinix Collaborates with Dell Technologies to Help Enterprises Deploy Flexible and Scalable AI Infrastructure

Dec 19, 2024

Prev Next 1 of 40,542

Scientists and data engineers can use LabSQL to make different connections between various samples, such as DNA, RNA, and peptide samples, experimental protocols, data, and metadata. This allows biotech startups to automate workflows and data handling and maximize the value of their data.

“Our team at Talus Bio has started relying on Scispot for complete sample management of our proteomics workflow. Using it to design experiment templates and store all of our result data has been a game-changer,” said Lindsay Pino, co-founder, Talus Bio.

[To share your insights with us, please write to sghosh@martechseries.com]