News items related to the Department of Molecular and Biomolecular Informatics.
Tom Ederveen8 October 2020
Recently awarded with the best publication award, this dedicated researcher loves DNA as much as Salvador Dali does. He lost his childhood in Jurassic Park, but eventually became interested in the art of making data meaningful. Time to get a glimpse of his vision for a sustainable science practice.
UMCs work together on the FAIRification of patient registries4 June 2020
It has become easier for scientists working with rare diseases to exchange research data. By researchers from Radboudumc and Amsterdam UMC, a rare disease registry codebook has been created. The codebook facilitates data exchange between institutions with different electronic data capture software.
Radboud Bioinformatics Xmas event 16 December21 October 2019
The CMBI is organizing the event of the year for all bioinformaticians throughout Radboud University and Radboudumc to give you the opportunity to bring forward the biggest challenges in your research to expert bioinformaticians and pave the way for real solutions.
H2020 grant for a new EATRIS flagship project on personalised medicine6 September 2019
EATRIS obtained funding for a new flagship project for sustainability and personalised medicine: EATRIS-Plus. Alain van Gool, Peter-Bram ‘t Hoen and Ariaan Siezen are co-PI’s and receive approximately 550 k€ from this 5M€ Horizon2020 infrastructure development grant.
Front cover Human Mutation21 August 2019
The MetaDome web server build to interpret genetic variants based on genetic tolerance and homologous protein domains is featured on the Cover of Human Mutation. MetaDome was developed by Laurens van de Wiel, Coos Baakman, Daan Gilissen, Joris Veltman, Gert Vriend and Christian Gilissen,
Valentine’s day spectacle at the Radboud Research Rounds21 February 2019
This year’s Valentine’s day in the Radboudumc was focused on the RRR of the Tumors of the Digestive Tract. In the biannual Paper Award session the big prize went to Daniel Garza from the Center for Molecular and Biomolecular Informatics, for his paper on “the environmental metabolome”.
Nature Methods paper on GPCR structure determination5 February 2019
The most recent addition to the GPCR database is a web tool to make the design of crystal constructs easier. CMBI Master's student Janne Bibbe was part of this project, and is now co-author of the paper "An online resource for GPCR structure determination and analysis" in Nature Methods.
COPAL reveals remodeling of mitochondrial protein complexes in Barth syndrome21 January 2019
Martijn Huijnen, theme Mitochondrial diseases, and colleagues developed COmplexome Profiling ALignment (COPAL) to systematically asses the effect of Barth syndome on mitochondrial protein complexes. They published their findings in Bioinformatics.
Five RIMLS researchers in top 1 percent by citations13 December 2018
Bas Dutilh, Leo Joosten, Jos van der Meer, Mihai Netea and Henk Stunnenberg made it to this year’s list of highly cited researchers. Researchers in this list are selected for their exceptional research performance and are regarded to have had a major impact on fellow scientists.
Minister pleads for a better use of big data in healthcare6 December 2018
The minister for medical care and sport, Bruno Bruins, sent his recommendation regarding the use of big data in healthcare to the House of Representatives. In order to securely share data, the Personal Health Train project was established. Peter-Bram ‘t Hoen is one of the project leaders.
Predicting metabolites based on bacterial genes19 March 2018
What do the bacteria eat, that live on your skin? Scientists at Radboudumc and Utrecht University have developed a novel computer model to answer this question, revealing that a lot of the food for skin bacteria is derived from beauty and skin care products.
Publication in Human Mutation Using homologous relationships of protein domains in the human genome to interpret genetic variation4 September 2017
This publication is part of the PhD project of Laurens van de Wiel and shows how homologous protein domain relations may be used to interpret normal and pathogenic variation at a much finer scale than previously possible.