DREAMS: deep read-level error model for sequencing data applied to low-frequency variant calling and circulating tumor DNA detection.

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Title: DREAMS: deep read-level error model for sequencing data applied to low-frequency variant calling and circulating tumor DNA detection.
Authors: Christensen MH; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark., Drue SO; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark., Rasmussen MH; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark., Frydendahl A; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark., Lyskjær I; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark., Demuth C; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark., Nors J; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark., Gotschalck KA; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.; Department of Surgery, Horsens Regional Hospital, Horsens, Denmark., Iversen LH; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.; Department of Surgery, Aarhus University Hospital, Aarhus, Denmark., Andersen CL; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark. cla@clin.au.dk.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark. cla@clin.au.dk., Pedersen JS; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark. jakob.skou@clin.au.dk.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark. jakob.skou@clin.au.dk.; Bioinformatics Research Center, Faculty of Science, Aarhus University, Aarhus, Denmark. jakob.skou@clin.au.dk.
Source: Genome biology [Genome Biol] 2023 Apr 30; Vol. 24 (1), pp. 99. Date of Electronic Publication: 2023 Apr 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1474-760X
DOI:10.1186/s13059-023-02920-1