Pipeline pilot
| Developer(s) | Accelrys |
|---|---|
| Initial release | 1999 |
| Stable release |
8.5 CU3 / May 2012
|
| Written in | C++ |
| Operating system | Windows and Linux |
| Type | Visual and dataflow programming language |
| License | Proprietary |
| Website | accelrys |
Pipeline Pilot is the authoring tool for the Accelrys Enterprise Platform. It is a scientific visual and dataflow programming language, used in various scientific domains, such as cheminformatics and QSAR, Next Generation Sequencing, image analysis, text analytics.
Originally created in 1999 by SciTegic, Pipeline Pilot is now developed by BIOVIA.
Pipeline Pilot was used at first in the pharmaceutical and biotechnology industries and by academics and government agencies. Then other industries started to adopt it, but always in science driven sectors such as Chemicals, Energy, Consumer Packaged Goods, Aerospace, Automotive, Electronics.
Pipeline Pilot includes contextual help that is searchable and interactive; users should refer to it. Reviewing the examples and the documentation is the best place to start.
The graphical user interface, called the Pipeline Pilot Professional Client, allows users to drag and drop components, connect them together in pipelines, and save the application developed as a protocol.
Think of the components as nodes of a directed graph: each one has a specific task on the data. Users have the choice to use predefined components, or to develop their own: components can be chosen from the library, configured, redesigned, or even created from scratch and documented at will. When a new component is made by collapsing a few components together, it is called a subprotocol.
In a typical protocol, the reading components (on the left) send the data records through the pipelines (to the right) for further process, analysis, and reporting.
The components are organised by science in collections.
The most interesting protocols are often those mixing collections:
Many custom script components are available in Pipeline Pilot, allowing experts to include their code directly into the pipelines and maintain a library of components based on their preferred language, such as Perl, Java, VBScript, .NET, JavaScript, Python, Matlab, etc.
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