The European Research Institute for the Biology of Aging (ERIBA) is a research institute embedded with the University Medical Centre Groningen (UMCG). The mission of ERIBA is to better understand the molecular mechanisms that result in age-related decline and age-related diseases. We aim to develop novel strategies to prevent or combat age-related diseases and to provide evidence-based recommendations for healthy ageing. Our research teams are working with different model systems and technology platforms and share their knowledge and expertise to accelerate discoveries. The ERIBA is part of the central UMCG campus in the vibrant university city of Groningen in the north of the Netherlands.
The Guryev lab at ERIBA is looking for a PhD student in computational genomics for a Dutch Scientific Organisation (NWO)-funded project
We are looking for a student to join our project on studying missing and structurally polymorphic segments in human genomes. Despite the fact that completion of human genome project that was announced over 15 years ago, our knowledge of human genomes is still rather incomplete. In total, large and complex changes in our genomes affect even more DNA letters (bases) than single-nucleotide differences. The most challenging part that is typically missing from the resultant list of DNA variants is large insertions that are not part of reference human genome. The aim of our research is to identify these segments, finemap them to corresponding genomic location and characterize their molecular function. We will study the role of these new segments in generating new transcribed and translated gene products. We ultimate aim of this research is to share the extended genome reference, its annotation as well as tools we developed to annotate them. These results should contribute to more complete understanding of content and function of our genomes.
For more information, also see:
Hehir-Kwa et al. A high-quality human reference panel reveals the complexity and distribution of genomic structural variants. Nat Commun. 2016 7:12989.
Computational Pan-Genomics Consortium. Computational pan-genomics: status, promises and challenges. Brief Bioinform. 2018 19:118-135.
What do we need
The ideal candidate has a MSc in biology, bioinformatics, computer science or a related field who:
- has solid background in genetics and genomics
- has experience in programming and data analysis
- pro-active, can do, collaborative, open attitude
- communicates easily in English speech and scientific writing (with good publication track record)