Projektdetaljer
Beskrivelse
Type 2 diabetes is a common disease that, if unmanaged, can lead to potentially fatal complications. Current treatments are symptomatic leading patients into life-long treatment regimes. This has a significant negative impact on their lives and poses a big economic burden for society.
To develop better treatments, we need to understand the disease mechanisms. This is a large-scale global effort, which is generating a lot of data. There is >10TB sequencing data from human islets and it is growing exponentially. This data deluge has become prohibitive, and the field is in a deep
reproducibility crisis. In the Islet Cartography-project, I collect the data and apply state-of-the-art data science methods to
robustly integrate it to facilitate reproducible and data-driven discovery of new biology.
To develop better treatments, we need to understand the disease mechanisms. This is a large-scale global effort, which is generating a lot of data. There is >10TB sequencing data from human islets and it is growing exponentially. This data deluge has become prohibitive, and the field is in a deep
reproducibility crisis. In the Islet Cartography-project, I collect the data and apply state-of-the-art data science methods to
robustly integrate it to facilitate reproducible and data-driven discovery of new biology.
| Status | Igangværende |
|---|---|
| Effektiv start/slut dato | 01/01/2022 → 31/12/2026 |