Detection and validation of circular DNA fragments by finding plausible paths in a graph representation

Abstract - The presence of extra-chromosomal circular DNA in tumor cells has been acknowledged to be a marker of adverse effects across various cancer types. Detection of such circular fragments is potentially useful for disease monitoring.
Here we present a graph-based approach to detecting circular fragments from long-read sequencing data.
We demonstrate the robustness of the approach by recovering both known circles (such as the mitochondrion) as well as simulated ones.

Biographies:

Alicia Isabell Tüns did her bachelor's degree in biomedical engineering at the University of Applied Sciences Hamm-Lippstadt in 2016. She finished her master's degree in medical biology at the University of Duisburg-Essen in 2018. Since March 2019, she has been working as a Ph.D. student in the biology faculty at the University of Duisburg-Essen. Her research focuses on detecting molecular markers of relapse in lung cancer using nanopore sequencing technology.

Till Hartmann obtained his master's degree in computer science at TU Dortmund in 2017 and has been working as a Ph.D. student in the Genome Informatics group at the Institute of Human Genetics, University Hospital of Essen since then.

https://tu-dortmund.zoom.us/j/94389532508?pwd=YmRZTEZXWHVkMGlhMCtYM2ZRL2ZuQT09