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SLAS2023 International Conference and Exhibition

San Diego, CA, USA
February 25, 2023 – March 1, 2023
Booth #1044

Join Genedata experts at the SLAS2023 International Conference and Exhibition conference at booth #1044.

Don't miss the opportunity to see how Genedata Screener® analyzes, visualizes, and manages screening data from in-vitro screening assay technologies across the enterprise, including very complex as well as ultra-high throughput experiments. You also have the chance to find out more about Genedata Imagence®, a high content screening (HCS) image analysis software based on deep learning. To get more information about our software or to arrange a meeting, please contact  screener(at)genedata.com or imagence(at)genedata.com, respectively.

Recommended Oral Presentations

Fill the Discovery Funnel with Quality Hits Using Label-Free, Multiplexed Mass-Spectrometry and Safety Assays with the Genedata Screener Analysis Platform 
Matthias Fassler, Head of Product Management
Genedata, Switzerland
Tutorial
Monday, February 27 | 2:00 pm – 3:00 pm

New assay formats and detection technologies can help fill the R&D pipeline with quality candidates from the start. Due to the more complex data they produce, they require an up-to-date analysis platform to unfold their potential. Thus, biopharmaceutical companies around the world rely on Genedata Screener® as an out-of-the box platform that streamlines, scales up, and standardizes the analysis of such assay data −automating everything from data import to result reporting. In this tutorial, we will present two new applications that are being enabled with the new Screener version 20.

Mass spectrometry (MS) continues to deliver better screening results in less time. It is an ideal platform for rapid, cheap, scalable assays due to its highly sensitive label-free readout, fast instrumentation, and its amenability across many molecular modalities. The increasing throughput and assay complexity has its toll--data analysis has become the limiting factor. Genedata Screener® overcomes this limitation with new, ready-to-go analysis workflows for the typical assay formats--multiplexed affinity selection MS, covalent binding screening, and multiple reaction monitoring. Here we present how these workflows allow MS screening labs to scale up and speed up their assays, to shorten project cycles.

Early toxicity screening of hit and lead candidates in physiologically relevant models has become reality with advancements in iPSC technology and calcium oscillation assays, enabling monitoring calcium signaling in cardiomyocytes and neuronal cells at relatively low cost. Again, scaling up these cellular models to higher throughput creates a new challenge with respect to analysis of these high-volume, complex data. To address this challenge, Genedata Screener® now features a new automated workflow for high-throughput analysis of calcium oscillation data together with an extended support for analysis of automated patch clamp data (e.g. CiPA-mandated assays). We will show how this workflow allows automated parallel processing of entire screening runs for detecting different forms of cardiac liabilities.

It’s Time to Think About Automating Data Processes the Way We Automate Wet Lab Processes
Sascha Fischer, Business Development Manager
Genedata, Switzerland
Tutorial
Tuesday, February 28 | 9:00 am – 10:00 am

In this tutorial we present how Genedata Screener® is best positioned to provide the biopharmaceutical R&D labs with the digital backbone for automation workflows. This includes assay data and metadata flow directly from analytical instruments into a fully digital process, including automated data loading and analysis upon experiment completion, even in real-time, using the Genedata Screener® software.

In biopharmaceutical R&D labs, multimodal high-throughput platforms equipped with liquid handlers, robotic systems, and state-of-the-art analytical instruments enable the screening of thousands of compounds in a matter of hours. However, when it comes to handling the resulting raw data, scientists often extract and transfer the raw data manually into spreadsheet applications and perform data analysis using multiple different analysis tools.

With hardware automation in place, it’s high time to think about the digital backbone of your automation workflow and automation of data processing. Only by doing this can you achieve true end-to-end automation workflows.

The topics which we will cover in this tutorial include: the typical set up of automated labs regarding planning and acquisition of assay data, challenges in consolidation of instrument output with sample information, automation of data analysis from raw data to results, use of results in project decisions, and corporate knowledge management.

Recommended Poster Presentations

In Search of COVID-19 Therapeutics:  Efficient Analysis of Single-agent and Combination Antiviral Activity Screens


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