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Bioinformatics Platforms

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CD Biosynsis provides a comprehensive bioinformatics toolbox and fully integrated platforms to power synthetic biology research. We can provide our customers with tailored solutions that meet specific research objectives and diverse applications to help them solve any problems encountered in their projects and bring breakthrough ideas to fruition.

Introduction to Bioinformatics

The primary goal of synthetic biology is to redesign and fabricate existing biological systems or to efficiently design and create functional systems based on the molecular machines and regulatory circuits of living organisms, following the standard engineering protocol of design and fabrication. Synthetic biology mainly focuses on taking, characterizing, and simplifying parts of existing natural biological and using them as a component of unnatural biological systems. The development of synthetic biology as an engineering discipline cannot rely on endless trial and error methods. The challenge is to process large volumes of complex biological data into concise formulas with predictive power and ultimately link synthetic DNA sequences with dynamic phenotypes. Bioinformatics and computational tools play a key role in overcoming these challenges.

Bioinformatics, as a subdiscipline of biology and computer science, has become a cutting-edge applied science for the application of computer technology to acquire, store, analyze, disseminate, and effectively utilize biological data. In the post-genomics era, the development of whole-genome sequencing, proteomics, microarray, and other technologies has generated large volumes of data that need to be stored, organized, and analyzed to extract new insights and knowledge. Computational simulations thus serve as a powerful alternative and supplement to experimental approaches, advancing the understanding of complex systems in silico. Synthetic biology advances have been driven by the development of powerful bioinformatics tools that allow the integration of the Design-Build-Test-Learn (DBTL) biological engineering cycle. With the rapid development of bioinformatics, mathematics and computational sciences have become equal partners to analytical and experimental biology. Bioinformatics and advanced computational tools play an indispensable role in synthetic biology.

Figure 1. Selected bioinformatics tools and associated tasks for the Design/Build/Test cycle in synthetic biology. (Nicholas J W., 2016)Figure 1. Selected bioinformatics tools and associated tasks for the Design/Build/Test cycle in synthetic biology. (Nicholas J W., 2016)


Applications of Bioinformatics for Synthetic Biology – CD Biosynsis

Our Platforms

CD Biosynsis offers integrated bioinformatics platforms to help customers overcome the challenges of synthetic biology projects and accelerate their journey to success.

Integrated Bioinformatics Platforms – CD Biosynsis

CD Biosynsis is committed to the establishment of advanced technology platforms and is adept at tailoring services and solutions to the customer's needs and circumstances. We are confident in the validity and reproducibility of the results we deliver because all of our services and products are based on reliable technologies and optimized protocols to meet high standards.

To start your synthetic biology projects, please feel free to contact us for more details. Our experienced scientists are available for on-demand customer assistance to help you with any concerns you may have.


  1. Nicholas J W. Bioinformatics for the synthetic biology of natural products: integrating across the Design–Build–Test cycle. Natural product reports, 2016, 33(8): 925-932.
  2. Rodrigues L R & Kluskens L D. Synthetic Biology & Bioinformatics: Prospects in the cancer arena. Computational Biology and Applied Bioinformatics, 2011, 8: 159-186.

Please note that all services are for research use only. Not intended for any clinical use.

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