We are looking for a highly motivated individual to join the team of Natasha Glover and Christophe Dessimoz as a Postdoctoral Researcher in Comparative Genomics (https://lab.dessimoz.org/). This position offers a unique opportunity to contribute to cutting-edge research projects focused in bioinformatics and comparative genomics and to collaborate with an experimental laboratory specialized in gene editing for validation of computational findings.
The position is full-time, with compensation at the Premiers Assistants level. You will have joined affiliations with the University of Lausanne and the Swiss Institute of Bioinformatics (SIB).
Despite the abundance of genomic data, our understanding of the relationship between synteny and gene function across different species still remains limited. Reconstructing ancestral syntenies presents methodological challenges, particularly in cases where orthologous relationships are not one-to-one due to gene duplications and losses. To address these challenges, we developed a powerful tool called "edgehog" (https://github.com/DessimozLab/edgehog) for reconstructing ancestral syntenies.
The current project has two main objectives: First, we aim to improve the accuracy of orthology inference by leveraging abundant genomic data from diverse species and our novel ancestral synteny method, which builds upon the Hierarchical Orthologous Groups framework of the OMA resource (https://omabrowser.org/).
Second, we will devise an algorithm for more accurate detection of gene losses, which is an essential aspect for evolutionary studies. By leveraging our newly developed ancestral synteny algorithm, we aim to assess whether genes are genuinely lost or simply undetected due to assembly and annotation errors. We will focus on investigating gene loss at both the evolutionary and functional levels using the crop model tomato, an excellent system for unraveling the genomic and phenotypic consequences of crop domestication.
- Ph.D. in Genomics, Bioinformatics, Computational Biology, or a related field.
- Strong background and expertise in comparative genomics, with a demonstrated track record of research productivity in this field.
- Proficiency in computational analysis of large-scale genomic data
How to Apply: