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ERC Starting grant for Sasha Zhernakova

In Sept. 2016 Dr. A. (Sasha) Zhernakova was awarded an ERC Starting grant to study: “ The role of the virome in shaping the gut ecosystem during the first year of life”. She will study the development of gut flora in newborns. At birth, babies have a limited number of bacteria and viruses in their guts. These increase during the first twelve months, eventually forming a stable colony of gut flora (the microbiome). She will try to discover how the viruses and bacteria develop and how this affects babies’ health. She will study both genetic factors and environmental factors, such as diet, vaccinations

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Intern Dirk de Weerd wins poster prize

Automated NIPT diagnostics pipeline. The development of an automated Non Invasive Prenatal Test analysis pipeline using MOLGENIS compute framework by H.A. de Weerd, F. van Dijk, E.N. de Boer, M. Dijkstra, B. Sikkema-Raddatz, G.J. te Meerman, M.A. Swertz and L.F. Johansson Department of Genetics, and Genomics Coordination Center, Department of Genetics, University Medical Center Groningen, the Netherlands Dirk de Weerd’s poster on NIPT has won a prize in the Hanze University’s Institute of Life Science and Technology poster competition, which had some 100 submissions from students taking courses at HBO/undergraduate/Bachelor of Applied Science level, for example, in bioinformatics, chemistry, and

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Lude Franke awarded ERC Starting Grant (€1.5m)

New ‘big data’ approach to identify environmental risk factors for disease Lude Franke (Department of Genetics, UMCG) has been awarded an ERC Starting Grant (€1,500,000) to identify new environmental risk factors for immune diseases. Many diseases have a genetic background but other environmental risk factors (such as viral or bacterial infections) must also play an important role. However, for most diseases these environmental risk factors are still unknown. In this project Lude Franke will identify these risk factors by using large amounts of genetic and gene expression data to study the interplay between genetic risk factors, the role of different

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The genetics of coeliac disease

Read an interview with Cisca Wijmenga about some of her work. She “is fascinated by the study of coeliac disease; here, she discusses her close connection to the history of the field, the changes brought about by new sequencing methods and the importance of collaboration”. Read about:   Navigating the non-coding regions of the genome  –  Genome of the Netherlands   —  Non-coding RNA  –  Coeliac disease the facts  –  Genetic risk profiling The project “Coeliac disease: from lincRNAs to disease mechanism (CD-Link)”  is supported by an ERC Advanced Investigator grant. By Josh Gabbatiss. Published courtesy of International Innovation – a leading scientific dissemination service. Link to full

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BBMRI-NL2.0 awarded €9.8 million

BBMRI-NL2.0: building on the Dutch biobank On Tuesday 1st July, BBMRI-NL2.0 was awarded €9.8 million as part of the National Roadmap of Large Research Infrastructures. It is one of six facilities receiving a grant from NWO. The award was announced during a ceremony at Leiden University Medical Centre. Professor Cisca Wijmenga (UMCG) is director of this large-scale biobanking project. (BBMRI stands for Biobanking and Biomolecular Research Infrastructure) BBMRI-NL will join forces with EPI2 and CTMM-TraIT in July 2014  │   BBMRI-NL embarks upon its second phase: BBMRI-NL2.0 The new endeavour will comprise BBMRI-NL and all the biobanks connected with it.

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Enlighten Your Research Global Award: Virtual Machine Images for Life Science Research

Denver (USA), 18 November 2013 – One of the four prestigious “Enlighten Your Research Global” awards has been given to an idea developed by an ELIXIR working group for the sharing of virtual machines over research and education networks. The concept, which was developed from an ELIXIR pilot action, makes it much easier for scientists in many different countries to find meaning in massive volumes of biomedical data in a secure manner, such as 1000 Genomes, Genome of the Netherlands, and GWAS/epidemiological data in the BBMRI biobank network. The working group is a collaboration of institutions involved in the ICT

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