Are you passionate about bioinformatics, programming, and web development? Do you want to apply your skills to cutting-edge diabetes research? Join us in developing Islet Gene View (IGV) 2.0, an advanced interactive platform for exploring pancreatic islet genomics!
Why Study Pancreatic Islets?
Pancreatic islets are small clusters of cells in the pancreas. These cells play a crucial role in blood sugar regulation by producing islet hormones such as insulin and glucagon. Dysfunction in these cells leads to diabetes, a major global health challenge. Understanding islet biology is essential, but research is limited by the availability of samples that are typically sourced from deceased donors. That’s why it’s critical to maximize the accessibility and utility of existing data.
The Project: IGV 2.0
We are upgrading IGV to make pancreatic islet data more comprehensive and user-friendly for researchers. IGV 2.0 will integrate new donor datasets, enhance gene activity and genetic variation data, and introduce powerful new visualization tools for interactive analysis.
Who We’re Looking For
We are seeking a motivated Master’s student with:
- Interest in bioinformatics, programming, and web development
- Basicknowledge of R (with other programming languages is a plus)
- Experience with R Shiny application development is a significant advantage
- Curiosity and enthusiasm for analyzing biomedical data
You will be working within the Bioinformatics Unit at the Lund University Diabetes Centre (LUDC), based at CRC, Malmö. The project can begin as a research project in Spring 2025, with the option to transition into a Master’s thesis (2025-2026).
How to Apply
Send a brief statement of interest and your CV to Dmytro Kryvokhyzha (dmytro.kryvokhyzha@med.lu.se).
Current version of IGV:
Asplund O, et al. Islet Gene View – a tool to facilitate islet research. Life Sci Alliance. 2022. https://doi.org/10.26508/lsa.202201376
LUDC Bioinformatics Unit: https://www.ludc.lu.se/resources/ludc-bioinformatics-unit
Join us in advancing diabetes research through innovative bioinformatics!