Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Google Analytics

Targeted advertising cookies


The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal



Predictive Modelling | Directed Evolution | Pathway Assembly | High-throughput | Analytics | Robotic Platforms


DBTLP copy

About the Platform 

The SYNBIOCHEM Centre is harnessing the power of predictive Synthetic Biology (SynBio) to develop faster, more predictable, novel routes for fine and speciality chemicals production to deliver new chemical diversity towards scale-up and industrial manufacturing.

Current research in the Centre is focused on fine and speciality chemicals production. The discovery pipeline we have created can be applied to diverse chemical space (towards “dial-a-molecule”) which would test the robustness and flexibility of what we have to offer.

Through the full integration of our platforms the Centre can provide a unique capability for complete “design, build, and test and re-design” cycles that apply predictive SynBio technologies towards bio-sustainable production of fine and speciality chemicals.


Users of the SYNBIOCHEM Centre facilties will benefit from access to broad equipment capabilities and know-how with training and technical support for development of novel SynBio solutions for the production of fine and speciality chemicals. Interactions will be on multiple levels, either accessing part of our technology platform (e.g. DESIGN: in silico design tools for pathway modelling; BUILD: Pathway assembly and High Throughput robotics platforms; TEST HTP robotic screening platforms or MS analysis) or benefiting from the integrated capabilities to take their experimental research challenges from in silico design through to in vivo build and test/re-design.

The type of access provided will depend upon the user. This may range from a short stay of a few days to gain training in a particular technique or run an experiment on a particular piece of instrumentation or for longer periods of up to 3 months to work in close collaboration with the Centre. The Centre will provide all the necessary office, laboratory and meeting space required for the collaboration in the MIB which is situated within walking distance of central Manchester.

More Info

DESIGN: SYNBIOCHEM can provide access to an integrated suite of computational predictive modelling tools for: retrosynthesis, part to pathway scale modelling tools; chemical pathway and enzyme selection; DNA Bioblock and pathway design (Combinatorial design, Design of experiment sampling, Sequence creation and Assembly recipe).

BUILD: SYNBIOCHEM can provide access to a range of tools for directed evolution library assembly (SpeedyGenes), gene-editing, regulatory tools and chassis engineering, gene/DNA part compilation, part/pathway assembly and high throughput (HTP) robotics platforms for automated assembly, microbial growth and production.

TEST: SYNBIOCHEM can provide access to high-throughput screening methods and a suite of state-of-the-art Mass Spectrometers (MS) which provides high sensitivity, resolution and mass accuracy chemical detection with broad capabilities for compound analysis and multiple dimension separation, supporting both targeted analysis and untargeted metabolomics.

Units of access: Week

  • Quantity offered: 10
  • Total offered: 32
  • Type of access: on-site



The  University of Manchester (UNIMAN) is the largest single-site university in the UK, with research strength across all scientific disciplines. In this proposal, UNMIAN is represented by the Manchester institute of Biotechnology (MIB) and by the School of Computer Science