FindingPheno is an interdisciplinary project with close collaborations between eight academic, research and industrial partners across five countries. The combined scientific expertise include statistics and machine learning, ecology and evolutionary genetics, industrial food production systems and development of world class genomics software - giving the ideal consortium for implementing this ambitious project.
UCPH was founded in 1479 and today has approximately 39,000 students and 9,000 employees – of whom about 5,000 are researchers, making it the largest research and educational institution in the Nordic countries. The diversity of research programs and scientific expertise at UCPH is a distinguishing feature of the university.
FindingPheno UCPH researchers come from the Center for Evolutionary Hologenomics at the Globe Institute and the Department of Mathematical Sciences, with combined expertise spanning applied statistics, machine learning, evolutionary genomics, population genomics and industrial microbiome research.
UTU was established in 1920 with roots going back to the Royal Academy of Turku in the 1650s. Today, UTU has almost 20,000 students and over 3,000 staff.
FindingPheno UTU researchers come from the Department of Computing, within the Turku Data Science Group headed by Associate Professor Leo Lahti, lead PI in FindingPheno. Here, the group combines theory and methods of algorithmic data analysis, with particular focus on probabilistic machine learning, complex systems, high-throughput data analysis and statistical programming. Microbiome research is a key application area addressed by this group, including microbial ecology, bioinformatics and spatial modelling
QIAGEN was founded in 2005 and specializes in software tools for Next Generation Sequencing (NGS) analysis. The CLC Genomics Workbench and CLC Microbial Genomics Module, produced by QIAGEN, are a world leading software suite for NGS analysis of bacterial sequences, including de novo mapping, typing and metagenomics capabilities. It has a customer base of over 50,000 active users, a global and highly skilled sales team, and a professional ISO-certified quality software development setup.
EMBL is Europe’s flagship laboratory for the life sciences, with more than 80 independent groups covering the spectrum of molecular biology.
FindingPheno EMBL partners derive from the UK outstation of EMBL, in the Finn Group led by Dr. Rob Finn. The group aims a to help scientists realise the potential of ‘big data’ in biology by providing freely available data and bioinformatics services to scientific communities. This includes sophisticated multi-dimensional statistical models for genotype to single cell genomics, phenotype associations, cancer genomics, phylogenetics, infectious disease genomics, deep learning, and structural biology.
CF is a private, non-profit organisation dedicated to research excellence in biomedical science. CF provides a unique environment for cutting-edge research designed to reveal new knowledge and develop scientific solutions to medical problems.
FindingPheno CF partners come from the de Polavieja Lab, whose aim is to reach a quantitative understanding of individual and collective behavior, including collective coordination, collective decisions and collective intelligence.
Chr. Hansen A/S is a global bioscience company with 3000+ employees all over the world. The company develops natural solutions for the food, nutritional, agricultural and pharmaceutical industries covering entire production chains. It uses strong R&D competencies coupled with significant technology investments and close customer relationships to develop and produce cultures, enzymes, and natural colors for foods, beverages, confectionery, dietary supplements and animal feed. The department of Animal Health aims at increasing the intestinal health and digestibility for production animals through microbiomes and knowledge.
CER is the largest ecology institute in Hungary, and dedicated to being a national advisor on issues related to biodiversity and ecosystems, while also supporting the development of ecology.
FindingPheno CER partners come from within the Cooperation and Evolutionary Ecology Research Group, applying dynamical system modelling as a general method for studying a variety of evolutionary and ecological problems, including the microbial communication and microbiome dynamics. A current strategic aim of the group is to enhance the interaction of the theoretical research with innovative projects like FindingPheno.
Njorth Bio_science Ltd. was founded in 2017 as the link between Njorth Bio AS in Tromsø and the Cambridge research hub for handling the biodiscovery parts of enzyme development. All activities related to the development of new enzymes occur in Cambridge, where research ranges from bioinformatics to final enzyme development. Its core philosophy is to use a wide integration of omics tools to accelerate and economise enzyme development rather than having the biotech industry relying on cumbersome and traditional functional screening approaches
