1/3/2024 0 Comments Snapgene ucsf“By offering the Siegel Lab a virtual infrastructure to run the mutagenesis process, we streamlined their protocol, enabling automated high-throughput and robust mutagenesis via the cloud,” said Max Hodak, CEO of Transcriptic. “As a result of the team’s work, and the support we received from Transcriptic, we have now generated an order of magnitude more data than any previous effort, making this the largest dataset of its kind.” “To the best of our knowledge, the research community has not previously produced, purified, and measured the kinetic constants of more than 32 mutants in a uniform manner,” said Justin Siegel, Ph.D., Assistant Professor and Head of the Siegel Lab at the UC Davis Department of Chemistry. Results from the study show how Transcriptic Workcells automate mutagenesis at a scale and speed necessary for generating large-scale datasets. In the study, researchers at University of California, Davis used the Transcriptic Robotic Cloud Laboratory to improve a critical step in the workflow of computational enzyme design – site-directed mutagenesis, a basic but time-consuming process that is prone to errors. 16, 2016 - Transcriptic, Inc., a robotic cloud laboratory for life sciences, today announced a peer-reviewed study has been published in PLOS ONE that provides an example of how researchers are successfully using Transcriptic Workcells to automate and streamline their biology research. Results Published in PLOS ONE Report Largest Enzyme Mutant Data Set Generated to Date More information on Transcriptic can be found at Media Contact: Transcriptic frees researchers to focus on the creative aspects of their science by providing faster, more reliable and repeatable processes with vastly lower capital costs than previously possible. The convenient and simple web interface allows biologists to control their science and generate data from virtually anywhere in the world. Transcriptic’s revolutionary, automated cellular and molecular biology platform enables scalable life science research with flexibility and precision. Transcriptic is the robotic cloud laboratory for life sciences. “In addition to sharing very similar goals, there is also significant potential for cooperation and integration with other products in our portfolio of companies, including Tetrascience, Labguru, BioRAFT and Figshare.” “Our mission at Digital Science is to bring innovative tools to researchers that allow them to spend more time where they add most value, so Transcriptic is a perfect fit for us,” said Daniel Hook, CEO of Digital Science. “DCVC has doubled down on Transcriptic because they are uniting these technologies to free life sciences researchers from the heavy tax of assembly-line lab processes, enabling them to accelerate life-saving breakthroughs.” “At Data Collective (DCVC), we are investing at the intersection of AI, robotics, and hyper-scale data and compute to transform global industries,” said Matt Ocko, Managing Partner. Our goal is to make life science research cheaper, faster, and more accessible, and today’s investment will enable us to deliver further innovations to make that a reality.” “The Transcriptic platform has freed researchers from many hours of painstaking, error-prone work and enabled them to focus where their time is most valuable. "Since we founded Transcriptic in 2012, we have seen a significant change in how the industry thinks about lab work," said Max Hodak, CEO of Transcriptic. The company, which developed the open source Autoprotocol language for codifying lab protocols, helps researchers take their research to an automated, highly-scalable and safe environment in which machine learning techniques can be used to to speed up discovery. In today’s increasingly digital research environment, where consistent data is essential and reproducibility of results a necessity, Transcriptic is redefining how research is delivered. The new funds will allow the company to grow its team to accommodate further growth, extend the capabilities of its innovative platform, and deliver on its vision of using its automated platform to dramatically increase research productivity. Since the company launched in 2012, the company has executed experiments for individual researchers, institutions and large pharmaceutical businesses. Transcriptic will utilize the new capital to drive the company’s product, team and expansion plans. Existing investors, including AME Cloud Ventures, and others also contributed to the round. The new funding was led by Data Collective, along with new investors Digital Science and WuXi AppTec. 17, 2016 – Transcriptic Inc., a robotic cloud laboratory for life sciences, today announced the closing of a $13.4 million Series A-1 investment. New Capabilities Will Significantly Increase Impact
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