Team:USTC-Software
From 2013.igem.org
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<div class="camera_caption fadeFromBottom">Genetic Regulatory Networks<em>Genetic Regulatory Network(GRN) has been a major subject in recent researches of synthetic biology, and the modulation of a GRN gives rise to a variety of exciting works among iGEM programs as well as softwares assisting synthetic biology researches. Traditionally, researches of GRNs have been focused on either connecting GRNs with real parts in the registry or with experimental data. Therefore, we want to completely connect these three factors.</em> </div> | <div class="camera_caption fadeFromBottom">Genetic Regulatory Networks<em>Genetic Regulatory Network(GRN) has been a major subject in recent researches of synthetic biology, and the modulation of a GRN gives rise to a variety of exciting works among iGEM programs as well as softwares assisting synthetic biology researches. Traditionally, researches of GRNs have been focused on either connecting GRNs with real parts in the registry or with experimental data. Therefore, we want to completely connect these three factors.</em> </div> | ||
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<div class="camera_caption fadeFromBottom">All-in-one Software<em>In order to fully combine biological networks, experimental data and mathematical models, we build a suite of applications that serves to solve different tasks and make them work seamlessly together. With the all-in-one software suite, you can display experimental data, extract mathematical models, understand the genetic regulatory networks and get a well-designed report of the results. We designed the user interfaces to be fun to interact with and easy to use.</em> </div> | <div class="camera_caption fadeFromBottom">All-in-one Software<em>In order to fully combine biological networks, experimental data and mathematical models, we build a suite of applications that serves to solve different tasks and make them work seamlessly together. With the all-in-one software suite, you can display experimental data, extract mathematical models, understand the genetic regulatory networks and get a well-designed report of the results. We designed the user interfaces to be fun to interact with and easy to use.</em> </div> | ||
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<div class="camera_caption fadeFromBottom">Machine Learning<em>Machine learning is a branch of artificial intelligence that is widely used in many disciplines such as software engineering, computer vision, finance, Neuroscience and bioinformatics. During reverse engineering, we use many machine learning techniques and algorithms to help optimize the process so that the process is faster and more accurate.</em> </div> | <div class="camera_caption fadeFromBottom">Machine Learning<em>Machine learning is a branch of artificial intelligence that is widely used in many disciplines such as software engineering, computer vision, finance, Neuroscience and bioinformatics. During reverse engineering, we use many machine learning techniques and algorithms to help optimize the process so that the process is faster and more accurate.</em> </div> | ||
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<div class="camera_caption fadeFromBottom">Report<em>Report organizes all output information in folders. You can review the simulation result while looking at the behaviors of certain genes or proteins. In addition, Report creates a web page where you can review the results on the go.</em> </div> | <div class="camera_caption fadeFromBottom">Report<em>Report organizes all output information in folders. You can review the simulation result while looking at the behaviors of certain genes or proteins. In addition, Report creates a web page where you can review the results on the go.</em> </div> | ||
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Revision as of 12:44, 8 August 2013
Welcome to our wiki!
Description:
Synthetic biology has been working on transforming target organisms, which usually means integrating new genes with an available network to achieve a high expression level of certain compounds. Nevertheless, the new-integrated genes are always not the original parts of the target metabolic network, so it is hard to predict how the new genes will affect the network.
Our application aims to simulate genetic networks. The application analyzes the stability of genetic networks after introduction of exogenous genes. Meanwhile, given the original network and specific purposes, the application traces the regulative process back and gives possible regulative patterns.
[NAME]
[BASIC FUNCTION]
[APPROACH & METHODOLOGY]
[PURPOSE & BACKGROUND]
[SIGNIFICANCE & INNOVATION]
Console
Console is where you manage heavy computing and complex tasks. With different buttons controlling each parameter, you can optimize the behaviors of the software. We applied evolution algorithm and machine learning techniques in the network inferences to provide the best simulation of your data.
Sand Box
SandBox displays the Genetic Regulatory Networks in a clean and interactive way, with clear connection and 3-D interaction, you will get better understanding of how genes and proteins regulating each other.