From amatern from gmail.com Thu Apr 19 12:16:25 2007 From: amatern from gmail.com (amatern) Date: Thu Apr 19 13:07:27 2007 Subject: [Chromosomes] SNP Chip Data Analysis for Whole Genome Association Studies Message-ID: <1177002984.962998.104210@l77g2000hsb.googlegroups.com> http://www.inforsense.com/webcast.html?id=11 -------------------------------------------------------------------------------- Event: SNP Chip Data Analysis for Whole Genome Association Studies: Rapid identification of phenotype/genotype associations and predictive biomarkers using GenSense Date and time: 24 April 2007 3:00pm UK / 10:00am EST / 7:00am PST 6:00pm UK / 1:00pm EST / 10:00am PST Presenter(s) Info: Robin Munro, Director of Biology Solutions, InforSense Patton Fast, Director of Strategic Partner Programs, InforSense Duration: 45 minutes Description: SNP Chip Data Analysis for Whole Genome Association Studies With the throughput that is possible from the new genotyping platforms, the promise of delivering novel biomarkers is now within reach. Whole genome association studies are becoming commonplace but it is clear that current analysis tools do not maximize the potential value of the underlying high cost experiments. Analytic software needs to be highly flexible to enable ad hoc integration of many different types of data and algorithms and to compare outputs from different approaches. In this webcast you will learn how InforSense GenSense can help you analyze high volume SNP chip data and accelerate the identification of phenotype/genotype associations and new predictive biomarkers. You will see how to use data from new generation SNP chips, combined with current genome data sources and the latest statistical genetics techniques, to quickly identify predictive and diagnostic biomarkers. We will also show how GenSense is used for building ad hoc analyses as well as integrating custom analysis methods and workflows for gene annotation and text mining. In this free webcast, you will learn how to: Manage and analyze large volume genotyping data. Assess chip quality through a range of QC procedures. Interpret results and find new phenotype/genotype and case control associations. Link SNPs to genes, pathways and processes for interpretation in the relevant biological context. Access these functionalities via a simple and intuitive portal. InforSense GenSense enables the analysis of data from the latest generation of genotyping platforms. It has been specifically designed to assist researchers understand complex analyses, quickly find interesting SNP's and produce reports with easy to understand graphical summaries and interactive visualizations of large data sets. The first version of GenSense supports data from both Illumina and Affymetrix and supports links to standard genomics data sources such as Entrez Gene, HapMap and dbSNPs. InforSense Ltd., the leader in integrative analytics, enables organizations to orchestrate and optimize their business-critical decision-making processes. Leading pharmaceutical and biotechnology, consumer goods, financial services companies, and research institutes are using the company's flagship product, InforSense KDE, to enhance productivity across life science R&D, healthcare, and business analytics. The company is privately held, with European headquarters in London, UK and North American headquarters in Cambridge, Massachusetts. For questions on the webcast please contact Perry Aiello at +1 760 587 1077 or information@inforsense.com