Genovate® 模組化基因合成與調控策略模擬平台
基因元件 × 調控模组 × 表现策略
Genovate® Modular Gene Synthesis and Pathway Reconstruction Platform
Genovate® 模組化基因合成與調控策略模擬平台
基因元件 × 調控模组 × 表现策略
Genovate® Modular Gene Synthesis and Pathway Reconstruction Platform
精準建構屬於您的基因設計解法
Tailored Genetic Design Solutions for Synthetic Biology
Genovate® 模組化基因合成與路徑重建平台是專為合成生物學設計的整合式解決方案。此平台提供基因元件模組庫,集合多樣化功能元件以供靈活組合,協助快速建構高效基因迴路。此外,透過表現建模工具運用多組學數據與機器學習,能精準預測與優化基因表現;並藉由調控策略模擬,預測基因調控效果,全面優化生物系統設計。
可支援客製序列設計與分析。
集合多種功能性基因元件含多種啟動子/RBS/終止子/調控序列等資料。
提供相容性標記、建議使用條件。
快速構建高效可控基因迴路。
推動創新研究與應用開發。
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Supports custom sequence design and analysis.
A library of functional genetic elements, including promoters, RBSs, terminators, and regulatory sequences.
Provides compatibility markers and recommended usage conditions.
Enables rapid construction of efficient and controllable genetic circuits.
Drives innovative research and application development.
運用多組學數據,建立基因與蛋白質的表現預測模型。
結合統計分析與機器學習,模擬表現水平。
根據元件組合,預測表現強度。
透過資料驅動演算法與實驗回饋,優化設計。
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Builds predictive models for gene and protein expression using multi-omics data.
Simulates expression levels with statistical analysis and machine learning.
Predicts expression strength based on component combinations.
Optimizes designs with data-driven algorithms and experimental feedback.
類比誘導開關/壓抑/回饋調控等邏輯閘設計
模擬基因調控網絡與信號路徑。
預測調控因子作用效果。
優化生物系統設計。
支持生物技術與合成生物學。
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Designs logic gates for induction, repression, and feedback control.
Predicts regulatory effects to optimize biological systems.
Simulates gene regulatory networks and signaling pathways.
Supports R&D in biotechnology and synthetic biology.
|基因元件模組庫服務
我們提供基因元件模組庫(Genetic Element Module Library)服務,集合多種功能性基因元件,包括啟動子、增強子、終止子及調控序列等,為合成生物學與基因工程提供豐富模組選擇。模組庫支持靈活組合與定制化設計,幫助客戶快速構建高效、可控的基因迴路,推動創新研究與應用開發。
|表現建模工具服務
我們提供表現建模工具(Expression Modeling Tool)服務,基於多組學數據和計算方法,建立基因與蛋白質表現的預測模型。工具結合統計分析與機器學習技術,幫助客戶模擬並優化生物體內分子表現水平,提升實驗設計效率與研究精準度。
|調控策略模擬服務
我們提供調控策略模擬(Regulatory Strategy Simulation)服務,利用系統生物學和計算模型,模擬基因調控網絡及信號傳導路徑。該服務幫助客戶預測調控因子作用效果,優化生物系統設計,提升實驗準確性與效率,支持生物技術與合成生物學研究。
Genovate® is a Modular Gene Synthesis and Pathway Reconstruction Platform designed to provide an integrated solution for synthetic biology. It features a Gene Element Module Library with diverse functional components for flexible assembly, enabling rapid construction of high-performance genetic circuits. The platform also includes an Expression Modeling Tool that uses multi-omics data and machine learning to predict and optimize gene expression. Additionally, the Regulatory Strategy Simulation service forecasts the effects of genetic regulation, ensuring comprehensive optimization of biological system designs. By combining a modular gene parts library, regulatory logic algorithms, and expression strength modeling, the platform delivers essential gene-level support for synthetic biology research, facilitating the design and assembly of promoters, ribosome binding sites (RBSs), open reading frames (ORFs), and terminators for enhanced genetic circuit performance.
| Gene Module Library
Contains data on promoters/RBS/terminators from multiple species
Provides compatibility tags and recommended usage conditions
Supports custom sequence design and analysis
| Expression Modeling
Predict performance strength based on component arrangement and combination
Data-driven modeling algorithm
Support experimental feedback optimization
| Regulatory Simulation
Simulate pathways such as induction switch, repression, and feedback regulation
Support synthesis circuit logic design
|Genetic Element Module Library Service
We offer Genetic Element Module Library services, assembling a variety of functional genetic elements, including promoters, enhancers, terminators, and regulatory sequences, providing rich modular options for synthetic biology and genetic engineering. The library supports flexible combination and customized design, enabling clients to rapidly construct efficient and controllable gene circuits, advancing innovative research and application development.
|Expression Modeling Tool Service
We offer Expression Modeling Tool services that build predictive models of gene and protein expression based on multi-omics data and computational methods. Combining statistical analysis and machine learning techniques, the tool assists clients in simulating and optimizing molecular expression levels in organisms, enhancing experimental design efficiency and research accuracy.
|Regulatory Strategy Simulation Service
We provide Regulatory Strategy Simulation services that utilize systems biology and computational modeling to simulate gene regulatory networks and signaling pathways. This service helps clients predict the effects of regulatory factors, optimize biological system designs, and improve experimental accuracy and efficiency, supporting biotechnology and synthetic biology research.