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UnCoVar: a reproducible and scalable workflow for transparent and robust virus variant calling and lineage assignment using SARS-CoV-2 as an example.

Autor: Thomas A; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Battenfeld T; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Kraiselburd I; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Anastasiou O; Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Dittmer U; Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Dörr AK; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Dörr A; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Elsner C; Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Gosch J; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Le-Trilling VTK; Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.; Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Magin S; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Scholtysik R; Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Yilmaz P; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Trilling M; Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.; Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Schöler L; Institute for Virology, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.; Institute for the Research on HIV & AIDS-associated Diseases, University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.; Institute of Cell Biology (Cancer Research), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany., Köster J; Bioinformatics and Computational Oncology, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany.; Division of Molecular and Cellular Oncology, Department of Medical Oncology, Harvard Medical School, Boston, MA, USA., Meyer F; Data Science Research Group, Institute for Artificial Intelligence in Medicine (IKIM), University Hospital of Essen, University of Duisburg-Essen, Essen, Germany. folker.meyer@uk-essen.de.

Publikováno v: BMC genomics [BMC Genomics] 2024 Jun 28; Vol. 25 (1), pp. 647. Date of Electronic Publication: 2024 Jun 28.