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FIN-Biofoundry
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FIN-BioFoundry goals
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FIN-Biofoundry
HTMLText_91928FA7_83B4_5DD9_41DF_2B93217152D5.html =
FIN-Biofoundry
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FIN-Biofoundry
HTMLText_90FE7792_83AF_EDF1_4181_D89E90B5B377.html =
FIN-Biofoundry
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Introduction to FIN-Biofoundry
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What is DBTL cycle? (1/2)
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What is DBTL cycle? (2/2)
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How do biofoundries function within
data-driven synthetic biology workflows?
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What is a Biofoundry? (1/3)
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What is a Biofoundry? (2/3)
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What is a Biofoundry? (3/3)
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Anaerobic laboratory
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Biofoundry
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Biofoundry
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Introduction
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Introduction


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Key focus areas
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Key focus areas
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Pilot hall
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Research and
Infrastructure
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Research and
Infrastructure
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Aalto University
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Advancing science and education in Finland
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Congratulations!
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Credits
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Data-driven Biomanufacturing
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FIN-Biofoundry
(2025–2029)
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Key enabling technologies
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Key focus areas
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List of activities
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List of activities
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List of virtual lab activities
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Open-access infrastructure
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Promote national and international collaborations
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Research and infrastructure
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Tampere University
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University of Turku
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VTT
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You've completed the FIN-Biofoundry training
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Funded by Research Council of Finland
Made by Samuel Girmay and Rahul Mangayil
All material are under CC BY-SA 4.0
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Design-driven biotech for scalable bioprocess


Design-driven biotechnology research, emphasises modular biodesign, automation, and data-driven biotechnology for scalable biomanufacturing and sustainable biomaterial innovation.
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FIN-Biofoundry coordinator


VTT brings together its advanced infrastructure, multidisciplinary teams, and strong links to industry to drive innovation and education in Finland’s growing bioeconomy.
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Smart biomanufacturing via synthetic biology


Tampere University specializes in engineering biology, with strengths in metabolic engineering, and sustainable bioprocessing promoting interdisciplinary approaches in industrial biotechnology research.
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Sustainable biomanufacturing through photo biotechnology


The University of Turku specializes in photobiotechnology with a focus on developing tools for cyanobacterial engineering and scale-up for sustainable solar-driven biomanufacturing contributing to Finland's circular bioeconomy efforts.


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Enclosed workstation



Enclosed workstation for anaerobic operations with H₂, CO₂, CO, and CH₄ gas lines.


Gas flows are computer-controlled, enabling precise purging and atmosphere control for anaerobic cultivation and bioprocess experiments.



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Finland’s data driven synthetic biology and biomanufacturing infrastructure




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1. High-throughput automation and liquid-handling robotics
2. Advanced analytical platforms
3. State-of-the-art bioreactors and in-vivo evolution platforms
4. Fluorescence-activated cell sorting
5. Next-generation sequencing platform
6. Advanced AI/ML tools
7. Integrated laboratory information management systems
8. Data management platforms
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1. Provide a unique and enabling platform for cutting-edge research in synthetic biology and biomanufacturing in Finland.


2. Develop AI-compatible data for biotechnology and ensure FAIR data.


3. Implement a shared data management platform.


4. Enhance existing infrastructures into interoperable, standardized units.


5. Serve as Finland’s node in the EU-IBISBA ESFRI infrastructure, and integrate with leading global biofoundries


6. Facilitate synthetic biology DBTL cycles, offering modular services for academic, educational, and industrial users


7. Promote responsible and sustainable research practices
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FIN-Biofoundry (VVT, Aalto University, Tampere University and University of Turku) is commited to provide broad, equitable access to infrastructure, tools, and services.


1. Access to bioreactors, analytical tools, robotic platforms, and data management systems.


2. Aims to increase academic usage by 35–40%, education/training by 20%, and industrial access by 5% annually by 2030.
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FIN-Biofoundry (VVT, Aalto University, Tampere University and University of Turku) is designed as a collaboratorive hub to:


1. Increase collaborations within the partner organizations.


2. Act as the Finnish node of the EU-IBISBA ERIC and enable partnerships with global biofoundries.


3. Facilitate joint research, shared data, and standardised protocols across the partner organisations.


4. Position Finland as a competitive partner in the global bioeconomy and synthetic biology landscape.
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FIN-Biofoundry is fundamentally designed to accelerate data-driven research and development in synthetic biology and biomanufacturing by;


1. Integrating automation, robotics, AI, and high-throughput methods to support DBTL cycles


2. Establishing standardized, FAIR, and AI-compatible data workflows


3. Implementing digital twins, real-time bioprocess monitoring, and advanced analytics to optimize biological systems and bioprocessing


4. Building a shared data infrastructure that promotes secure storage, metadata assignment, interoperability, and external accessibility by 2030
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FIN-Biofoundry will play a strategic role in strengthening Finnish scientific excellence and future workforce capabilities by;


1. Supporting cutting-edge fundamental and applied research.


2. Offering training enviroments and hand-on education for students and researchers.


3. Offering annual symposiums showcasing new technological and scientific advancements from partner organisations.


4. Providing learning and networking opportunities for students and promoting knowledge exchange and visibility of Finnish expertise.
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In concept, biofoundry operates much like a manufacturing foundry, but instead of producing metal parts, it produces biological solutions by engineering cells factories for sustainable biomanufacturing.
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Key aspects of DBTL cycle include:


1. Design: Use of computational tools and biological data to design biological systems


2. Build: Genetic engineering of biological systems using output from Design


3. Test: High-throughput characterisation of the engineered systems


4. Learn: Data analysis (AI/ML-driven) to identify patterns for improvements


5. Iteration of steps 1 – 4.
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Key features include:


1. Automated DNA assembly and strain engineering
2. High-throughput screening and testing platforms
3. Machine learning and AI for design optimisation
4. Scalable workflows for industrial biotech applications
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The Design-Build-Test-Learn (DBTL) cycle in a Biofoundry is a systematic and iterative engineering approach to optimise biological systems for efficient biomanufacturing.
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A biofoundry is an integrated facility that automates and accelerates the Design-Build-Test-Learn (DBTL) cycle in biotechnology.


It combines high-throughput synthetic biology tools, robotics, and data analytics to rapidly engineered biological systems, such as microbes, enzymes, or genetic circuits, for specific functions.
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Biofoundries accelerate data-driven biotechnology by integrating automation, high-throughput experimentation, and advanced data analytics.


How?


1. DBTL cycle enables rapid generation large datasets and analysis of biological data.


2. Facilitates researchers to efficiently optimise biological systems.


3. Closes the loop between experiment and computation making bioprocess development faster, scalable, and more predictive.
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The content for the virtual training was prepared by the working group members of Science, Education and Research infrastructure training from the FIN-Biofoundry consortium partners.


The virtual training was developed by M.Sc. Samuel Girmay and Assistant Professor Rahul Mangayil (Aalto University).


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