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How to analyze all bioassay data on one single platform

Learn how to capture and analyze highly complex bioassay data in the most consistent and efficient way. All kinds of data from a range of technologies and applications—including ELISA, flow cytometry, epitope binning, kinetic screening, and dose-response studies—can be analyzed and shared across the whole enterprise with Genedata Screener®. By making analysis faster and less error-prone, Screener increases your efficiency and helps you focus on interpreting your data and selecting the best leads.

Screener streamlines the analysis of bioassay data. It is part of the Genedata Biopharma platform, which provides a fully integrated solution for Biopharma R&D. The software automates the capture of raw bioassay data from different sources, harmonizes the analysis and makes results easily available for interactive quality control and visualization.

December 2019
Isabel Kolinko
Request Recording Biologics, Surface Plasmon Resonance, Biophysics
Genedata Imagence: A Deep Learning-Based Enterprise Solution that Increases Efficiency of HCS Image Analysis

This webinar shows the future of HCS image analysis enabled by Genedata Imagence, and how this solution efficiently automates HCS image analysis. Genedata Imagence does not require technical expertise beyond that of an assay biologist to annotate images, and our deep learning-based workflow makes this an extremely efficient process enabling higher throughput and improved quality. We show how one can rapidly detect and define all cellular phenotypes in a high-content screen in a few simple steps, with the final goal to precisely quantify relevant pharmacology

June 2019
Matthias Fassler
Request Recording HCS, Imaging
What's New in Screener 16.0

Screener 16.0 expands on existing capabilities while moving more functionalities to the new web application. We will present the new release in a live webinar Wednesday March 27.

Some new capabilities are:

Improved visualization and usability

  • More intuitive user interface
  • Personalized result pages and standard reports

Enhanced support for automated processes

  • Advanced real-time monitoring
  • More powerful panel screen functionalities

Additional biopharma applications

  • New epitope binning functionality
  • Increased support for SPR and BLI

...and additional functionality added to the web application. Register for the webinar for a live take on all this and more!

March 2019
Dr. Annette Brodte
Request Recording Hit & Lead Identification
How the integration of Mosaic SampleBank™ with Genedata Screener® delivers an off-the-shelf solution for automating plate management and data analysis

Recognizing that using separate and dedicated best-in-class software solutions is frequently the preferred option, Titian and Genedata have partnered to solve the integration between their software platforms so that you don't have to.

This presentation discusses the integration between Genedata Screener and Mosaic SampleBank and highlights the benefits it can bring to your workflow.

Oliver Leven, Head European Business, Genedata Screener
Toby Winchester, Business Application Consultant Team Leader, Titian Software
Marcus Oxer, Application Consultant, Titian Software
Anne Vergnon, Application Consultant, Titian Software

December 2018 Request Recording
Genedata Screener for Thermal Shift Assays

Thermal Shift Assays (TSA), or Differential Scanning Fluorimetry (DSF), is a label-free screening method used to determine protein properties such as thermal stability and ligand binding affinity. With Genedata Screener® you can robustly and efficiently analyze the many temperature curves created and reduce the analysis time with as much as days for screens with thousands of compounds. This webinar will show how to go from set-up and data import to quality control, review of the raw temperature curves, data analysis, and result generation.

Two specific TSA applications will be demonstrated:

  • High-throughput analysis of protein thermal stability using melting temperature algorithms
  • Using a Boltzmann fit strategy on melting curve dilution series to determine ligand binding affinities between one compound and several targets
November 2018
Moritz Pfreundschuh
Request Recording Thermal Shift Assays
Genedata Screener for SPR and BLI

Genedata Screener has expanded its portfolio of biophysical methods to include Bio-Layer Interferometry (BLI). This webinar will detail the processing of BLI assay data in Screener to measure biomolecular interactions, including full kinetic characterization. We will demonstrate efficient data loading, automated pre-processing methods, result generation, and the key visualizations provided by Screener throughout this workflow. Using Screener to analyze BLI data saves time, allows experiment scale-up, and streamlines the analysis workflow.

June 2018
Baptiste Tauzin
Request Recording Hit & Lead Identification, Biophysics
Genedata Screener for Mechanistic Analysis

A new software solution for scalable and streamlined processing of high-throughput data from mechanistic enzymology screening

Early inclusion of mechanistic information, kinetic information in particular, is key for modern drug programs. This webinar will present Screener for Mechanistic Analysis, a software solution that ensures consistent and reliable processing of mechanistic high throughput assays, with the potential to dramatically increase the yield of high-quality lead candidates. Live demonstrations exemplify the solution’s capabilities using two assays: Mechanism of Inhibition and time-dependent inhibition (slow binding). The quick data loading and tailored visualizations and overviews are the main focus and we illustrate how the software rapidly and reliably delivers high-quality result parameters.

May 2018
Evan Mulligan
Request Recording Hit & Lead Identification
Addressing the Efficacy and Toxicity Challenges of Immuno-oncology Drugs with Genedata Profiler

Recent advances in cancer immunotherapy have shown unprecedented success in some advanced cancer patients, validating decades of work in understanding the molecular and cellular mechanism of antitumor immune response. However, low response rates for these types of therapies along with high probability of toxicity and high costs of treatment demand identification of prognostic, predictive, and toxicity biomarkers. Future success in immuno-oncology therapy development depends on the efficient integration, processing and analysis of a wide variety of genomic, metabolomic, proteomic and other data types, at scale and to regulatory standards.

In this webinar, Genedata data scientist, Dr. Nadezda Masloboeva-Siwach explores the challenges in immuno-oncology and outlines how Genedata Profiler address those challenges. She demonstrates:

  • How Genedata Profiler enables efficient integrated and collaborative management, processing and analysis of complex, high-dimensional multi-omic data sets in conjunction with clinical data;
  • How Genedata Profiler and Genedata data scientists can help accelerate your research in immuno-oncology.
February 2018
Dr. Nadezda Masloboeva-Siwach
Request Recording Omics, NGS, Statistical Analysis
What's New in Screener 15.0

Genedata Screener 15.0 simplifies your daily analysis tasks, helps you deliver faster and better, and enables your research organization to quicken the pace of projects. The new version allows you to:
Move Around Faster with a Modern Interface

  • Use new visualizations to quickly understand and then act on your insights
  • Enjoy a simplified user interface
  • Try out our web-based client for a fast and automated workflow

Increase Your Efficiency

  • Focus on what’s interesting and delegate all repetitive tasks to Screener
  • Connect your lab automation to automated analysis – get quality, decision-ready assay results
  • Monitor your screening runs and share their results in real-time

Gain New Depths of Insight from Screening

  • Routinely characterize your large- or small molecule sets with SPR and BLI technologies
  • Scale up your mechanistic analysis assays and run them earlier in the discovery process
February 2018
Dr. Spencer Carson
Request Recording Hit & Lead Identification
Genedata Profiler for Target Identification in Triple Negative Breast Cancers

Genedata Profiler is used to identify targets for triple negative breast cancer treatment (TNBC). Raw omics datasets (RNA-Seq and DNA-Seq) are processed and integrated with phenotype data to generate targets for TNBC treatment.

January 2018
Dr Marisa Fernandez
Request Recording NGS, Omics
A new analysis capability to improve assessment of cardiac liability in high throughput electrophysiology

Automated patch clamp screens generate highly valuable information for drug research programs. Therefore AstraZeneca has implemented the Nanion SyncroPatch 384PE electrophysiology platform, capturing full kinetics of channel response at higher throughput for hERG and other key cardiac ion channels. AstraZeneca and Genedata then developed a processing and analysis pipeline for this complex data, reading binary raw data directly from the instrument into Genedata Screener, then assigning and integrating the sweep recordings and finally subjecting them to scientists’ review. Additional methods to normalize the cumulative curve recordings and to automatically detect “slow onset” compounds were developed. This investment in a next-generation automated electrophysiology platform and an appropriate automated data processing pipeline is resulting in more predictive and affordable safety screens at high scalability and rapid turnover for discovery projects across AstraZeneca.

June 2017
Ana Teixeira and Matthew Bridgland-Taylor (AstraZeneca, Cambridge, UK)
Request Recording Ion Channel Screening, HTS
Automated Data Processing for Quality Monitoring of Biotherapeutics by Multi-attribute Methods (MAMs)

Joe Shambaugh (Genedata Inc.) presents at 65th ASMS an implementation of MAMs using Genedata Expressionist as single software platform for the data processing, analysis, and management of MS data. In this approach, dedicated workflows are tailored to measure the CQAs for a given biomolecule, while testing for impurities (new peak detection), as well as checking the instrument qualification (system suitability).

June 2017
Joe Shambaugh
Request Recording Mass Spectrometry
Improving the Diagnosis and Therapeutic Outcome of Ovarian Cancer Using Novel Liquid Biopsy Tests

Learn about the development of new liquid biopsy tests for early detection and prediction of therapeutic outcome in ovarian cancer.


Breast and ovarian cancers pose huge and still largely unsolved challenges for the medical profession. The EU FP7 EpiFemCare project, to which Genedata was a key contributor, has made significant progress in improving the screening, diagnosis and personalized care of women with such cancers, by developing new liquid biopsy tests based on novel analyses of DNA methylation patterns.

This webinar by Prof. Martin Widschwendter of University College London, coordinator of the EpiFemCare project, gives an overview and discusses the clinical validation and healthcare impact of improved screening and diagnostic tests for ovarian cancer.

Dr. Marisa Fernandez of Genedata discusses how Genedata scientists working with our Genedata Profiler™ platform overcame the challenges of finding tumor specific biomarkers for use as liquid biopsies from highly diluted tumor-specific DNA fragments in blood. We review these challenges, demonstrate the development of new bioinformatics techniques for scanning RRBS methylation patterns unique to tumor samples and discuss the validation of these biomarkers for use as diagnostic and prognostic tests. Finally, we show how combining Genedata's industry leading data science and software can be applied to other precision oncology challenges.

April 2017
Prof. Martin Widschwendter (University College London, coordinator of the EpiFemCare project) & Dr. Marisa Fernandez (Genedata)
Request Recording NGS, Omics, Statistical Analysis
Discovering Therapeutic Combinations for Cancer at UT Southwestern with the help of Genedata Screener

This webinar illustrates how Genedata Screener® for Combination Screening forms an important part of the drug combinations discovery workflow at UT Southwestern Medical Center. Dr. Bruce Posner and Dr. Melissa McCoy demonstrate many of the software features that streamline the processes of data loading, data quality control, dose-response curve analysis, and assessment of the combinatorial effect of user-defined combinations of small molecules at pre-determined doses. As part of the presentation, they show how Screener was used in a project focused on discovering therapeutic combinations for pancreatic cancer (project published in Cell Reports August 2016, Witkiewicz et al.).

December 2016
Melissa McCoy and Bruce Posner, University of Texas Southwestern Medical Center
Request Recording Compound Combinations, Hit & Lead Identification
Would You Like to Analyze Multiple APC Plates in One Session?

This webinar demonstrates how Genedata Screener® for Ion Channel Screening is used to analyze automated patch clamp (APC) data. We will show how to analyze and compare plates in parallel, calculate results based on event aggregations, create comprehensive overviews of current traces and of pharmacological parameters that indicate use-dependency, save experiment set-ups for re-use, and report the results. You will see how Screener for Ion Channel Screening:

  • Performs the analysis up to 95% time faster than manual analysis
  • Improves data quality through overviews and comparisons
  • Allows analysis of both small and massive data sets

Download the webinar to learn how you can increase the efficiency of your APC analysis workflow.

June 2016
Jon Tupy
Request Recording Hit & Lead Identification, HTS, Ion Channel Screening
Deconvolution of Intact Mass Spectra: Novel Methods for Deep Characterization of Biotherapeutics

Dr. Mertens presents a novel webcast providing an overview of MS signal deconvolution for intact protein characterization. Working with data collected from a study of monoclonal antibody fragments, he showcases the benefits of innovative time-resolved deconvolution for the in-depth characterization of biotherapeutics.

June 2016
Dominik Mertens
Request Recording Mass Spectrometry
Smarter Crop Improvement through Integrated Genomic Analysis

Genedata Selector is used by leading plant breeders and scientists to manage complex and changing crop genome assemblies and genetic markers; Understand the relationships among diverse data types such as genomes, derivative lines, phenotypes, genotypes, syntenic regions, and metabolic pathways; And access to all available biological data sets while enabling plant scientists to hypotheses, ask complex queries and extract meaningful results.

May 2016
Ben Adamczyk
Request Recording NGS, Strain Development
Ensuring Patient Privacy in Multi-omic Translational Research

Patient clinical trial data represents a huge, often untapped resource for translational research. However its use poses challenges for organizations, principal among which is the need to harmonize and make actionable this complex, distributed data while addressing patient privacy and regulatory concerns.

In this live webinar, Dr. Harri Lempiäinen demonstrates how Genedata Profiler™ is able to overcome these challenges and optimize the process of translational research while ensuring compliance with ever-changing patient privacy regulations.

April 2016
Dr. Harri Lempiainen
Request Recording NGS, Omics, Statistical Analysis
HCS Data Analysis with Genedata Screener

This webinar provides a real-time demonstration of how Genedata Screener® for HCS is used in productive screening by many research organizations around the world. We show how to get a quick overview of assay quality directly after data loading, take a closer look at individual well results and address problematic data points, fit and review dose-response curves, and produce a hit list. We also demonstrate the benefits of viewing images next to the results, and how feature selection and reduction can be done with dendrograms, PCA plots, and LDA.

March 2016
Evan Mulligan
Request Recording Hit & Lead Identification, HCS, HTS
Genedata Selector for RNASeq-Based Gene Discovery and Comprehensive Functional Annotation

Using the barley genome as an example, we demonstrate how Genedata Selector™ can be used for RNAseq-based gene discovery and to enrich novel genes with comprehensive functional annotation. Furthermore we show how to visualize novel annotated genes at the metabolic pathway level and compare the barley genome across different grass species.

March 2016
Sebastien Ribrioux
Request Recording NGS, Omics, Strain Development