Pipeline Pilot is Accelrys' scientific informatics platform - technology
At the heart of Pipeline Pilot, Accelrys’ scientific informatics platform, is a powerful data pipelining engine that uses configurable protocols in a rapid application development environment to automate scientific data management, analysis and reporting processes. This powerful capability eliminates highly repetitive, often complex manual processes that lead to errors, consume high-value resources and drive up costs.
Pipeline Pilot is a configurable platform that offers a standardized technology option for research and development IT organizations, lowering the total cost of ownership while enabling scientific innovation.
The combination of a powerful data pipelining engine and a flexible, scientifically aware architecture enables Pipeline Pilot to uniquely address the challenges faced by research and development organizations. Pipeline Pilot delivers:
- Flexible, configurable service-oriented architecture
- Data management, analysis and reporting for numeric and complex data including chemical structures, sequences, image, numeric, and text.
- Rapid application development environment for engineers, developers and domain experts.
- Configurable components for data retrieval, manipulation, computational filtering and display.
- “Build-your-own” component capability leveraging standard technologies including SOAP/Web Services, Perl, Java and command line access.
- Validated scientific components and best practice workflows that cover a broad range of scientific disciplines to their required depth.
- Integration to third-party applications, databases and existing scientific infrastructure including Microsoft Sharepoint, image data management, chemical registration databases, Microsoft Excel, PUBMED, PUBCHEM, RCSB (bio sequence data and protein structures) and BLAST (sequence database). Its open architecture provides the ability to access third-party data sources that are ODBC compliant.
Pipeline Pilot’s Component Collections are the configurable “scientific building blocks” that access data, perform computations, and report and visualize results.