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Signet Key Features
The Signet SOAP API allows programmatic access to many of the data types within Signet. SOAP is rapidly becoming a standard for web service applications and the Signet API will allow users and administrators to create custom applications which can directly utilize data in Signet. In addition, Signet 5 includes a remote server native Java Plug-in API, giving GeneSpring users an interface to applications deployed on a server farm.
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Signet 5 includes modifiable workspaces that allow users to designate personal areas where data can be edited and reanalyzed. Samples, experiments and many other data types can be modified once they are loaded into Signet.
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Signet 5 provides tools to search and sort data according to workgroups or experiment type. Data and analysis results can be organized into projects that can be comprised of data from multiple technology platforms and/or from multiple species. Projects enable data objects to be associated with an experiment according to a researcher's personal method of organization.
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Ensure your organization is in compliance with the Food and Drug Administration's 21 CFR Part 11 requirements on the maintenance and submission of electronic records. Expression analysis technologies are playing an increasing role in drug discovery, validation, and approval processes and Signet provides a suite of features that enable organizations to remain in compliance with these new regulations. These features include:
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- Audit trails to record the creation, modification and deletion of records
- Security enhancements to authenticate users and administrators
- Electronic signatures applied to the creation of new objects
- Guidelines for archiving records and implementing Standard Operating Procedures (SOP's)
Signet Viewer is a powerful tool for inspecting the results of gene expression analysis experiments stored in Signet. Specifically tailored to users who need to examine, reformat, and redistribute data stored in Signet, Signet Viewer is a standalone Java client that uses as few system resources as possible. All of the data created by Signet Viewer is stored directly on Signet.
The Signet Viewer condition scatter plot allows researchers to plot two or three experimental parameter values for conditions (in 2D or 3D scatter plots), providing a better insight into the distribution of parameter values across an experiment. The Search Signet functionality allows researchers to find any analysis result on Signet no matter which genome it is associated with.
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Signet Viewer includes:
- All of the viewing tools available in GeneSpring
- Search tools for samples, genes, and gene lists
- Simple tools to build gene lists from search results as well as from hand-selected genes
- The ability to export charts, tables and graphs for report generation
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To ensure that the data that passes between client and server remains inaccessible to third parties, Signet includes the option to use Secure Sockets Layer (SSL) authentication for communication between Signet and GeneSpring, Signet Viewer or a Web browser. Signet is designed to run on a secure password-protected server that can be set up to function behind a firewall. All data is archived, accessed, and retrieved based on individual and group permissions.
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Signet allows researchers to instantly publish their data and analysis results to a centralized repository with GeneSpring or a Web browser. These results, along with their associated clinical and biological annotations, can be easily accessed and retrieved by colleagues anywhere in the world. Users can view the data or perform further analysis by automatically linking to Signet from GeneSpring.
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With a click of a button GeneSpring users can offload virtually any GeneSpring task to one of many remote servers for execution. Signet can assign tasks to one or more remote servers, creating a highly efficient compute farm. Results can be viewed through an individual's desktop client. Signet provides administrative tools for easy management of remote tasks.
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The Signet SampleLoader automatically updates the
Signet database with data in existing
LIMS and legacy databases, ensuring
that data is synchronized and
accessible across diverse parts of an
enterprise. In addition, sample data
can be loaded in batch from multiple,
specified network directories,
each with unique instructions for
handling access permissions and
identifying technology types.
The result is a tool that can keep pace
with truly high-throughput facilities,
as well as the needs of multiple
research groups generating data
independently.
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Signet Public Data Repository
The Signet Public Data Repository is a well-annotated MIAME-compliant version of publicly available data sets that can be hosted within a Signet database alongside proprietary data. Without any extra effort, scientists can reference their own findings against data from public resources. The GPDR contains over 6,300 extensively curated samples covering a variety of organisms including bacteria, plants and mammals, and cover a broad range of studies such as oncology, infectious diseases, CNS, development, inflammation, cardiovascular and respiratory disorders, pharmacogenomics, and more.
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PEER-C and Sample-Centric Architecture
Using PEER-C (Probe Entire Enterprise Repository for Conditions), researchers can easily identify gene expression profiles within Signet that are similar to a target profile. PEER-C takes advantage of a sample-centric architecture, allowing researchers to quickly build a library of samples based on disease state, compound classes, or tissue types.
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