Silicon Genetics Enables Extensible Expression Analysis Workflow with the Release of GeneSpring 7 and Signet 5 Software
Silicon Genetics today announced the immediate availability of GeneSpring(R) 7 and Signet(TM) 5, the latest versions of the most widely used suite of software for analyzing gene expression information. The new release introduces extensive new analysis capabilities, as well as a robust API architecture that enables the development of customized research workflows.
“Silicon Genetics’ developers have really done it again,” said Dr. Bruce Aronow, director of the Genome Informatics Core of the Cincinnati Children’s Hospital Medical Center. “The new Predict Significant Parameter feature in GeneSpring 7 is an amazing function that allows us to detect highly significant experimental factors in gene expression experiments much faster than any previous approach. Particularly in larger clinical studies with upwards of dozens of phenotypic features this becomes a very useful adjunct in pattern discovery and correlation.”
“This release enables our customers to leverage the power of GeneSpring and Signet within any workflow that best supports their research,” said Kevin Wandryk, vice president of marketing and business development for Silicon Genetics. “Expression analysis is widely utilized across all facets of life science. By opening up our systems for integration, we’re delivering a software environment that helps fulfill all of our customer’s research objectives.”
Silicon Genetics’ flagship application, GeneSpring, is used by more than 600 leading pharmaceutical, biotechnology, academic and government research organizations worldwide. The new enhancements in GeneSpring 7 include:
— New Support Vector Machines algorithms – learning algorithms that use prior knowledge of sample classes to identify unknown samples
— Project-based Organization – organize data and analysis results from multiple technology platforms or multiple species into projects
— New Genome Wizard for genome import and management
— New algorithms to find associations and correlations between parameters and expression profiles to help determine causative relationships
— Java API – for extending GeneSpring with custom analyses or visualizations
For more information on GeneSpring 7, or to download a fully functional trial version, go to:
http://www.silicongenetics.com/gs.html
Silicon Genetics’ Signet software is a highly scalable analysis platform for managing and mining expression data in a workgroup or an enterprise setting. Signet 5 now provides informatics departments with a series of programmatic interfaces that enable administrators to build a custom informatics workspace inside Signet. These improvements include:
— The Signet SOAP API – allows programmatic access to many of the data types within Signet
— The RemoteServer Native Java Plug-in API – gives GeneSpring users an interface to applications deployed on a Signet server farm
— Project-based Navigation – tools to search and sort data according to workgroups or experiment type
— Modifiable Workspaces – allows Signet users to designate personal areas where data can be edited and reanalyzed
For more information on Signet 5, please visit:
http://www.silicongenetics.com/sg.html
About Silicon Genetics
Silicon Genetics is the leading provider of software solutions for life science discovery. With combined expertise in biostatistics, molecular biology, and information technology, Silicon Genetics is the only company to offer scalability that meets the demands of both high-throughput sample volumes and increasing numbers of users. Thousands of scientists at hundreds of organizations, including 12 of the world’s top 13 pharmaceutical companies, currently use Silicon Genetics desktop and enterprise solutions to advance their research. On August 23, 2004 Silicon Genetics and Agilent Technologies jointly announced an agreement whereby Agilent will acquire Silicon Genetics, subject to customary closing conditions. Additional information about Silicon Genetics and its products and services can be found at www.silicongenetics.com .
