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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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  Data: DREAMS: deep read-level error model for sequencing data applied to low-frequency variant calling and circulating tumor DNA detection.
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  Data: <searchLink fieldCode="AU" term="%22Christensen+MH%22">Christensen MH</searchLink>; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Drue+SO%22">Drue SO</searchLink>; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Rasmussen+MH%22">Rasmussen MH</searchLink>; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Frydendahl+A%22">Frydendahl A</searchLink>; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Lyskjær+I%22">Lyskjær I</searchLink>; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Demuth+C%22">Demuth C</searchLink>; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Nors+J%22">Nors J</searchLink>; Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Gotschalck+KA%22">Gotschalck KA</searchLink>; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.; Department of Surgery, Horsens Regional Hospital, Horsens, Denmark.<br /><searchLink fieldCode="AU" term="%22Iversen+LH%22">Iversen LH</searchLink>; Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark.; Department of Surgery, Aarhus University Hospital, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Andersen+CL%22">Andersen CL</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Pedersen+JS%22">Pedersen JS</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22100960660%22">Genome biology</searchLink> [Genome Biol] 2023 Apr 30; Vol. 24 (1), pp. 99. <i>Date of Electronic Publication: </i>2023 Apr 30.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100960660 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-760X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214747596%22">14747596 </searchLink><i>NLM ISO Abbreviation: </i>Genome Biol <i>Subsets: </i>MEDLINE
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