Team:BU Wellesley Software/Puppetshow

From 2011.igem.org

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Our solution comprises a five-layer stack as illustrated in the Figure on the right. Using the Clotho
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Our solution comprises a five-layer stack as illustrated in the figure on the right. Using the Clotho
platform, we develop two applications for specifying and executing
platform, we develop two applications for specifying and executing
biological protocols. The Assembly Planner is the end-point of an
biological protocols. The Assembly Planner is the end-point of an
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provides an environment for writing, testing, debugging, and executing biological protocols.
provides an environment for writing, testing, debugging, and executing biological protocols.
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The protocols are written in a new high-level language called Puppeteer. The Language layer
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The protocols are written in a new python-based high-level language called Puppeteer. The Language layer
comprises the Puppeteer interpreter and linker. A protocol specified in Puppeteer may contain
comprises the Puppeteer interpreter and linker. A protocol specified in Puppeteer may contain
Puppeteer instructions as well as references to previously created Puppeteer programs available in a
Puppeteer instructions as well as references to previously created Puppeteer programs available in a
library. The Language layer expands and translates a Puppeteer protocol to a sequence of low-level
library. The Language layer expands and translates a Puppeteer protocol to a sequence of low-level
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commands expressed in a Common Robot Instruction Set (CRIS). CRIS provides a standardized
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commands expressed in a Common Human Robot Instruction Set (CHRIS). CHRIS provides a standardized
instruction set that high level biological protocol languages like Puppeteer may assume to be
instruction set that high level biological protocol languages like Puppeteer may assume to be
supported by any robot.  Any high-level language may produce CRIS programs and any robot vendor may
supported by any robot.  Any high-level language may produce CRIS programs and any robot vendor may
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support a superset of CRIS: this decouples robot hardware details from biological protocol and
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support a superset of CHRIS: this decouples robot hardware details from biological protocol and
specification details and supports our goal of portability and protocol library reuse.  The Hardware
specification details and supports our goal of portability and protocol library reuse.  The Hardware
Layer---the external control and I/O interface of a robot---is wrapped under a Hardware Abstraction
Layer---the external control and I/O interface of a robot---is wrapped under a Hardware Abstraction
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the Language layer, analogous to a ``system call'' suite.  This interface supports our goal of
the Language layer, analogous to a ``system call'' suite.  This interface supports our goal of
removing the minutiae of resource management from the protocol specification language.
removing the minutiae of resource management from the protocol specification language.
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</div>

Revision as of 22:13, 10 September 2011

BU-Wellesley iGEM Team: Puppetshow

Computational Team

Our solution comprises a five-layer stack as illustrated in the figure on the right. Using the Clotho platform, we develop two applications for specifying and executing biological protocols. The Assembly Planner is the end-point of an end-to-end design workflow that produces an assembly plan for synthetic biological devices, with each assembly step annotated with the name of a biological protocol. Each such protocol itself may be fully specified using another Clotho application called PuppetShow, which provides an environment for writing, testing, debugging, and executing biological protocols. The protocols are written in a new python-based high-level language called Puppeteer. The Language layer comprises the Puppeteer interpreter and linker. A protocol specified in Puppeteer may contain Puppeteer instructions as well as references to previously created Puppeteer programs available in a library. The Language layer expands and translates a Puppeteer protocol to a sequence of low-level commands expressed in a Common Human Robot Instruction Set (CHRIS). CHRIS provides a standardized instruction set that high level biological protocol languages like Puppeteer may assume to be supported by any robot. Any high-level language may produce CRIS programs and any robot vendor may support a superset of CHRIS: this decouples robot hardware details from biological protocol and specification details and supports our goal of portability and protocol library reuse. The Hardware Layer---the external control and I/O interface of a robot---is wrapped under a Hardware Abstraction Layer (HAL). Vendor-provided software for programming the robot may be proprietary and is used to control the robot. An interface to it is provided by a software bridge, which maps protocols expressed in CRIS to sequences of native robot instructions. The Resource Management layer maintains resource state information and provides a standardizable high-level interface for initializing, requesting, naming, aggregating, and accessing resources to the Language layer, analogous to a ``system call'' suite. This interface supports our goal of removing the minutiae of resource management from the protocol specification language.



Results:


Ethical User Study practices:
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Collaboration with other iGEM teams:

Overview: PuppetShow

Constructing a combinatorial library of devices is tedious using manual laboratory techniques and would require hundreds of hours of careful work. To remedy this, we are implementing the Puppeteer Biological Protocol Automation Suite. This suite includes a high level programming language for specifying biological protocols commonly used in the laboratory, which are then executed by a liquid-handling robot with minimal user intervention.









Demo Video

Wetlab

We implemented two protocols central to BioBricks assembly---Restriction Digestion and Ligation---in Puppeteer. We validated the Puppeteer implementation by executing multiple trials of both protocols and verifying the result by running a gel.


Results:
The images show the verification results.







Safety practices:
Aliquam in felis sit amet eros pharetra volutpat.