Recordings
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| Title | Description | Date | Product | Recording | |
|---|---|---|---|---|---|
| Processing and Analysis of High Throughput Assay Panels | New laboratory automation and commercial assay panel kits are enabling automated compound profiling for specificity, selectivity, and various forms of off-target activity and toxicity. They do so at lower cost per data point, larger scope, and higher throughput compared to e.g. classical safety panels. In this webinar, we demonstrate how to cope with this new wave of dose-response data from such parallel assays and derive useful and reliable information in real time at a high throughput scale. We show how to apply the unique features of Condoseo and Hit Profiler in fully analyzing the data for 6500 compounds from a combined selectivity and toxicity panel. | 2010 | Screener | available | |
| Genedata Refiner Genome - Closing the Next-Generation Gap | Massively parallel sequencing and high-density microarray analysis of the genome, transcriptome, proteome and epigenome promise to greatly increase the understanding of biological systems and diseases. These technologies are rapidly emerging and the number of data points continues to double every two years. Consequently, a growing gap has formed between data output and the ability to process, analyze and visualize the resulting data. It is essential to bridge this gap so that researchers can make the most of the valuable information generated by these new technologies. The Refiner Genome module of the Expressionist® system has been specifically designed to process, analyze and visualize data in the context of genomic positions. It handles experimental data of unlimited size from different vendors and technology platforms. With an innovative and extremely flexible genomic browser capable of visualizing billions of data points, Refiner Genome is the perfect solution for next-generation sequencing and other high throughput genomic data. Built upon the proven foundation of the Genedata´s workflow architecture, Refiner Genome simplifies and automates the most complex analyses. Transcriptomics, methylation, copy number variation or proteomics data can be either combined or analyzed separately to extract relevant information. The software architecture enables easy adaption of new methods and data formats making it a flexible system for dynamic organizations with constantly evolving needs. Learn more about Refiner Genome and see a demonstration on RNA-sequencing and copy number variation data analysis. | 2010 | Expressionist | available | |
| When High Content Meets High Throughput - Efficient Quality Control and Hit Selection in High Content Screens | Scalable and compatible with in-house and commercial HCS image storage solutions, Genedata Screener standardizes and automates the analysis and management of high content screens in a highly efficient, sophisticated workflow. It has been integrated at several Top 25 pharmaceutical companies with their respective infrastructures and is being applied to High Content Screens ranging from a few hundred to more than a million compounds. In this webinar, learn how to interactively optimize your hit selection in practice (including quality control), how to review cellular images and identify subtle variances rapidly, and retrace your analysis steps at any stage in the HCS screening process. | 2010 | Screener | available | |
| Genedata Analyst - Integration of Analyst with Public and Proprietary Databases | With its improved modular architecture, Analyst introduces a large set of public Application Programming Interfaces (APIs) that allow customizations of Analyst to import and export data directly from public and proprietary data sources. By writing small Java programs utilizing the new APIs customers can extend Analyst to support in-house LIMS systems, annotation databases and new vendor formats. By utilizing the same set of APIs for integrating with the Expressionist and Screener systems, Genedata has proven the applicability and usefulness of this approach. This presentation aims to provide an overview of the new interfaces and highlight some of the new integration options. We discuss detailed examples using the data input and link-out APIs. | 2009 | Expressionist | available | |
| How Genedata Screener Enhances FLIPR Experiments at Largest Global Biotech | Time series assays truly put screening data analysis and data management to the test. The goal to get the maximum of information out of kinetics data while minimizing time and effort, the desire to standardize across instruments, and the requirement to store data centrally are only a few of the challenges. In this webinar we will - with the spotlight on the Kinetics Analyzer module - demonstrate how Genedata Screener® meets those challenges, streamlining workflows and providing standardized kinetics data processing procedures. We will show how you can efficiently apply Kinetics Analyzer to accelerate both your assay setup and full-deck screening process, thus paving the way to increased productivity and data quality - from individual curves over plate QC to hit list creation. A live demo will showcase Screener's applicability, scalability, ease of use and scientific sophistication. Special focus will be given to the speed of data loading and processing, curve shape review, aggregation rule evaluation, and the identification of both problematic and promising wells. In this context, we will illustrate how the largest global biotech company utilizes Screener's features to enhance in particular their FLIPR data analysis and their general screening workflow. | 2009 | Screener | available | |
| Genedata Analyst - Taking Integrated Data Mining to the Next Level | Analyst has long been the tool of choice of statistical analysis of transcriptomics, proteomics and metabolomics data in Expressionist. With the upcoming release, Genedata Analyst reaches new heights in the areas of usability and performance. Building on the solid foundation of proven statistical methods, the release combines an improved end-user experience with vastly improved performance and virtually unlimited scalability. In this presentation we provide an overview of new and improved functionality with a focus on usability and performance. In addition to the new data tab and analysis list, we highlight data import, normalizations and mappings. | 2009 | Expressionist | available | |
| High Content Analyzer - Mastering HCS Data Management on a Grand Scale | While high content screening has evolved into a mature, widely adopted technology, insufficient data management capabilities still set strict boundaries for its scale-up or implementation as a platform across organizations and infrastructures. Turning this situation around, we will in this webinar introduce you to the exceptional scalability as well as the analytical and integrative qualities of Genedata Screener® High Content Analyzer. Exemplifying three recent case studies with Top 50 pharma customers, Dr. Oliver Leven will show you how to take full advantage of Screener’s platform capabilities, speed and sophistication for managing and analyzing biological data sets from different HCS technologies. He will elaborate with a live demonstration on how to rapidly identify results of interest in large screens and track them back to the original images, which are instantaneously being retrieved from HCS image stores. | 2009 | Screener | available | |
| From Expression Data to Gene Lists and Their Interpretation: A Data Analysis Workflow in Genedata Expressionist® | This webinar will provide an overview of the most important and/or common methods for data mining and analysis using the Genedata Expressionist module Analyst. The methods will be explained without using equations. An example dataset consisting of 45 Affymetrix microarrays will be used to illustrate data overview methods like box plots, clustering and principal components analysis. Different normalization methods and their underlying assumptions will be discussed. Furthermore, statistical tests appropriate for given experimental designs will be explained. Finally, Fisher’s Exact Test and its modern extensions will be applied to interpret gene lists. | 2009 | Expressionist | available | |
| Genedata Expressionist 5.3 – Release Highlights | Expressionist 5.3 expands the process capabilities of its Refiner Array module: In addition to IVT arrays, Refiner Array can preprocess the new whole transcript and exon arrays, with virtually no limit on the number of chips. This webinar will discuss the main new functionalities of Refiner Array and will also include a live software demonstration. | 2009 | Expressionist | available | |
| Transcriptomics Data Analysis Across Multiple Technologies | Find out how to perform integrated analysis with proprietary vendor formats via common identifiers, and how to validate findings across technologies. The MicroArray Quality Control (MAQC) project has analyzed two human reference RNA samples using microarrays and other technologies (e.g., QRT-PCR). The resulting datasets from Affymetrix and Illumina microarrays as well as a QRT-PCR dataset will be analyzed in the Genedata Expressionist® module Analyst. | 2009 | Expressionist | available | |
| A Brief Guided Introductory Tour of Genedata Expressionist | This presentation targets new users of Genedata Expressionist. We will show an overview of the system on slides and then directly switch to a live Expressionist demonstration. Webinar participants will learn where to find help and the basic usage of Refiner Array and Analyst. | 2009 | Expressionist | available | |
| Genedata Expressionist 5.2 - Key Features | The latest release of Genedata Expressionist, version 5.2, focuses on the mass spectrometry module, Refiner MS. In this webinar, take a look at new features and hear about general improvements, both in usability and performance. | 2009 | Expressionist | available | |
| From Data to Hypothesis and Back | A drug discovery example is shown in which an initial microarray experiment leading to a drug target hypothesis is corroborated by a follow-up study. The demonstration includes a short overview on data pre-processing and basic analysis. The main focus is on the biological interpretation of the resulting gene lists using the Genedata Expressionist and Phylosopher platforms. | 2009 | Expressionist and Phylosopher | available | |
| Streamlined Analysis of High Content and Multiplexed Assays |
| 2009 | Screener | available | |
| What You Always Wanted to Know about Statistical Tests but Never Dared to Ask |
| 2009 | Expressionist | available | |
| Genedata Expressionist 5.1 High Throughput Biomarker Discovery Platform | See how the newest release of Expressionist 5.1 builds on our continuing commitment to statistics, usability and vendor support. | 2009 | Expressionist | available | |
| Analyze and Manage Time Series Data | Genedata Kinetics Analyzer is an enhanced solution which overcomes time series data analysis challenges in one integrated application and framework. Learn how extensive sets of kinetics assay data from all kinds of instruments, e.g. calcium flux assays, label-free assays, ion channel assays, or electrophoresis assays, can be rapidly analyzed, integrated and managed independent of reader or technology. | 2009 | Screener | available | |
| Survival Time Analysis in Genedata Expressionist | Learn how to apply Survival Time Analysis to your data. | 2009 | Expressionist | available | |
| Biological Interpretation in Genedata Expressionist | Learn how to apply Fisher’s Exact Test to find interesting groups of genes, how the Gene Ontology Tree helps you to interpret results in their biological context, and how the SigPathway variant of the Gene Set Enrichment Analysis overcomes some limitations of Fisher’s Exact Test. | 2008 | Expressionist | available | |
| High Throughput Mass Spectrometry by Thermo and Genedata Expressionist | Learn more about the capabilities of advanced mass spectrometry technology along with software features that enable you to analyze demanding amounts of proteomic and metabolomic data in high throughput environments. | 2008 | Expressionist | available | |
| Cross-Omics Analysis with Large Data Sets | Find out why integrated technologies present new insights. How data from different omics technologies can be analyzed together· How Genedata Expressionist scales in processing large data sets obtained with different -omics technologies. | 2008 | Expressionist | available | |
| Unsupervised Learning - PCA, Clustering and Other Techniques | Are there any patterns in your omics data which you are not aware of? In this webinar, learn how to detect those patterns, using techniques from unsupervised learning such as various forms of Clustering and PCA. | 2008 | Expressionist | available | |
| Efficient Validation of Secondary Screening Assays and High Quality Generation of Dose-Response Curve Fits | 2008 | Screener | available | ||
| Hit Profiler - Identify Promising Lead Compounds from Experimental Data | 2008 | Screener | available |