The effects of bioinformatics preprocessing on cell-free DNA fragment analysis
Altogether, we conclude that cfDNA analysis is minimally affected by different bioinformatics preprocessing settings, but we describe some synergistic effects between analytical approaches, which can be leveraged to improve cancer detection.
Authors
- Cécile Trottet (ORCID: https://orcid.org/0000-0002-1746-1343)
- Zsolt Balázs (ORCID: https://orcid.org/0000-0003-3537-7441)
- Michael Krauthammer (ORCID: https://orcid.org/0000-0002-4808-1845)
- Todor Gitchev (ORCID: https://orcid.org/0000-0002-7470-0646)
- Florent Moulière (ORCID: https://orcid.org/0000-0001-7043-0514)
- Idris Bahce (ORCID: https://orcid.org/0000-0002-1111-608X)
- Norbert Moldován (ORCID: https://orcid.org/0000-0003-4138-586X)
- Ivna Ivanković (ORCID: https://orcid.org/0009-0006-7240-3214)
Institutions
- University of Zurich (CH)
- Dutch Cancer Society (NL)
- Cancer Research UK (GB)
- University of Manchester (GB)
- Quantitative BioSciences (US)
- University Hospital of Zurich (CH)
- Amsterdam Neuroscience (NL)
- Cancer Research UK Manchester Institute (GB)
- Amsterdam University Medical Centers (NL)
- Cancer Center Amsterdam (NL)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- GigaScience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/gigascience/giaf139
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Amsterdam University Medical Centers
- Universität Zürich
- Cancer Center Amsterdam