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Team:USTC-Software/project
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<li><a href="#What is Lachesis?">What is Lachesis?</a></li> | <li><a href="#What is Lachesis?">What is Lachesis?</a></li> | ||
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<h3><a name="What is Lachesis?" id="What is Lachesis?"></a>What is Lachesis?</h3> | <h3><a name="What is Lachesis?" id="What is Lachesis?"></a>What is Lachesis?</h3> | ||
Revision as of 12:44, 4 October 2011
USTC-Software
Contents:
Motivation
What is Lachesis?
The project Lachesis aims at providing and integrated, easy-using and extensible CAD environment for the general purpose of Synthetic Biology.
To achieve this goal, Lachesis adopts an plug-in based structure. We provide the following three categories of plug-ins:
- Document parsers that handles various types of files, such as SBML and MoDeL.
- Models that each represents a specific kind of synthetic biological model.
- Views that present graphical user interface for users to work with biological models.
Available Features for Now
We have developed several useful plug-ins to justify our motivation as well as make Lachesis a powerful tool for designing and simulating Synthetic Biology models. Lachesis is coded with C++ and Qt. We welcome everyone to develop more helpful plug-ins for Lachesis.
Currently, we provide support for .sbml file, .model file and various kinds of other file types.
- Reaction Network Model represents an biological reaction network,e.g. read from an .sbml file,
- MoDeL model represents an model for the software MoDeL, which is an refactored and superior version of our last year's project iGaME.
- Assembly View provides an easy-using graphical interface for working with MoDeL,
- Network View provides an graphical interface for editing biological reaction network,
- Parameter fitting view(still under construction) can analysis synthetic biology models' behavior with respect to parameter changing, and tune parameters to give the desired behavior.
Chen Liao refactored iGaME to form the new software package MoDeL, which is a rule-based modeling approach for synthetic biology.
Xudong Sun designed an algorithm for parameter analyzing for biological reaction network. We currently working on re-implementing the algorithm to provide an efficient graphical interface and free users from mathematical details.
