Bioinformatics Services for Data-Driven Design of Cell Factories and Communities

Unsplashed background img 1

What is DD-DeCaF?

The European Commission has awarded 6.3 million Euros to a four-year collaborative project on data-driven design of cells and microbial communities for applications ranging from human health to sustainable production of chemicals. With advances in synthetic biology genomes can now be edited at unprecedented speed allowing making multiple changes in the same genome at the same time. This increases the need for computational tools to design cells and communities of cells analogous to the tools used in Computer Aided Design of cars, buildings and other man-made objects. In biotechnology these design tools need to be able to use existing large-scale databases to discover new parts and place them in the functioning context of the cell. The tools need to be easily accessible and provide an intuitive visual map of the cell to the biotechnologists working in the lab on building better cell factories and communities.

The project, called DD-DeCaF (Bioinformatics Services for Data-Driven Design of Cell Factories and Communities) brings together leading academic partners from five European universities with five innovative European companies to address the challenge of building a comprehensive design tool. The academic partners will develop cutting edge methods for using large scale data to design cell factories and communities for biotechnological applications. Three innovative Small/Medium Enterprise partners will convert these advanced methods to software tools that can be used by non-experts and to build intuitive visualizations of biological networks. These tools will be tested and applied to real world cell factory development projects by end-user partners.

Screencasts and videos

News and Social

  • 3rd workshop in November, ESIB, Graz (November 18, 2019)

    The DD-DeCaF 3rd Workshop: Computer-aided design of cell factories will be integrated in the European Summit of Industrial Biotechnology (ESIB), to be held in Graz, Austria.

  • 2nd periodic review meeting (March 15, 2019)

    The 2nd periodic review meeting of the DD-DeCaF projcet was held in Brussels on March 15, 2019 at the CPH EU Office.

  • 2nd workshop in September, Oeiras/Lisbon (September 18, 2018)

    DD-DeCaF 2nd Workshop: data-driven cell factory design

  • DD-DeCaF 5th Consortium Meeting in Lausanne (April 24, 2018)

    The fifth DD-DeCaF consortium meeting was held at EPFL in Lausanne on April 23-24.

  • DD-DeCaF 4th Consortium Meeting in Delft (September 11, 2017)

    The fourth DD-DeCaF consortium meeting was held at DSM in Delft on September 11 at the new Rosalind Franklin Biotechnology Center .

  • Hands-on workshop in September, Delft (June 29, 2017)

    DD-DeCaF 1st Workshop: Hands on introduction to data-driven cell factory and community design

  • DD-DeCaF 3rd Consortium Meeting in Copenhagen (May 30, 2017)

    The third DD-DeCaF consortium meeting was held in Kongens Lyngby (Copenhagen) on 11-12 May 2017 at the Novo Nordisk Foundation Center for Biosustainability.

  • 1st edition of the DD-DeCaF newsletter now available! (February 28, 2017)

    The first edition of the DD-DeCaF is now available, in this issue it is presented an overview of the project and its resources and a summary including the publications generated in the year 1 of the project.

  • Webcast DD-DeCaF platform adds an interactive pathway viewer (January 25, 2017)

  • DD-DeCaF 2nd Consortium Meeting in Heidelberg (September 28, 2016)

    The second DD-DeCaF consortium meeting was held in Heidelberg on 26-27 September 2016 at EMBL.

  • Using big “bio-data” to design better cell factories [Press release] (April 01, 2016)

    The EU has granted 6.3 million Euros to the project DD-DeCaF, coordinated by the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark. The objective is to develop a computer tool that will allow biotech companies to design and engineer cell factories faster than is currently possible today. The tool will accelerate the production of sustainable bio-chemicals and lay the groundwork for design of healthier foodstuff.

  • DD-DeCaF Kickoff Meeting in Brussels (March 10, 2016)

    The official kick-off meeting of the DD-DeCaF project was held in Brussels on 7-8 March 2016 at creoDK and hosted by the project coordinator the Novo Nordisk Foundation Center for Biosustainability.


Join Messages from DD-DeCaF to receive updates (quarterly) on new releases!



Unsplashed background img 3

Scientific partners

Industrial partners

Software Tools

tiltshift code

OptFlux is an open-source and modular software to support in silico metabolic engineering tasks aimed at being the reference computational application in the field.

Cameo is a high-level python library developed to aid the strain design process in metabolic engineering projects.

iPath2: interactive Pathways Explorer is a web-based tool for the visualization, analysis and customization of various pathways maps.

The Transport Reactions Annotation and Generation (Triage) tool identifies the metabolites transported by each transmembrane protein and its transporter family.

@Note is a Biomedical Text Mining platform that copes with major Information Retrieval and Information Extraction tasks and promotes multi-disciplinary research.

NGLess is a domain-specific language for NGS (next-generation sequencing data) processing with a focus on metagenomics processing.

The Mass-Action Stoichiometric Simulation (MASS) toolbox is a modeling software package that focuses on the construction and analysis of kinetic and constraint-based models of biochemical reactions systems.

iTOL: interactive Tree Of Life is an online tool for the display, annotation and management of phylogenetic trees. Trees can be annotated with 14 different dataset types, and exported into various graphical formats.

The Metabolic Models Reconstruction Using Genome-Scale Information (merlin) tool is an user-friendly Java application that performs the reconstruction of genome-scale metabolic models for any organism that has its genome sequenced.

Optlang is a Python package implementing a modeling language for solving mathematical optimization problems, i.e. maximizing or minimizing an objective function over a set of variables subject to a number of constraints. Optlang provides a common interface to a series of optimization tools, so different solver backends can be changed in a transparent way.

The GECKO toolbox is a Matlab/Python package for enhancing a Genome-scale model to account for Enzyme Constraints, using Kinetics and Omics.