Analysis of WGS data on cfDNA
Dnr:
sens2023541
Type:
NAISS SENS
Principal Investigator:
Emma Tham
Affiliation:
Karolinska Institutet
Start Date:
2023-06-09
End Date:
2024-07-01
Primary Classification:
30107: Medical Genetics
Allocation
- Castor /proj/nobackup at UPPMAX: 1000 GiB
- Cygnus /proj at UPPMAX: 1000 GiB
- Cygnus /proj/nobackup at UPPMAX: 1000 GiB
- Castor /proj at UPPMAX: 1000 GiB
- Bianca at UPPMAX: 2 x 1000 core-h/month
Abstract
The research hypothesis is: Data from whole genome sequencing (WGS) can provide better detection of tumour-derived cfDNA that targeted methods”
Method: WGS on genomic DNA from blood and cell free DNA (cfDNA) from plasma on five individuals. Data analysis of cfDNA characteristics and genetic aberrations. Correlation to known genetic aberrations in these samples. Evaluate and further develop analysis tools