{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T09:19:35Z","timestamp":1758359975320,"version":"3.44.0"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T00:00:00Z","timestamp":1756771200000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of Muenster; the German Federal Ministry of Education and Research BMBF","award":["01GM1911A","01GM1909A"],"award-info":[{"award-number":["01GM1911A","01GM1909A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Recent advances in single-cell sequencing made it possible to not just analyze a cell\u2019s individual expression pattern, but to gain insights into a single cell\u2019s genome using the cutting-edge technology single-cell DNA sequencing. Mission Bio is, with the Tapestri platform, one of the few providers of this technology. So far, however, there is only little open-source software available for user-friendly processing and quality analysis of this data type. With scafari, we present a tool that offers easy-to-use data quality control as well as explorative variant analyses and visualization.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>scafari is implemented as an R Bioconductor package featuring a shiny application and is available at https:\/\/bioconductor.org\/packages\/scafari.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaf477","type":"journal-article","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T13:02:46Z","timestamp":1756818166000},"source":"Crossref","is-referenced-by-count":0,"title":["scafari: exploring scDNA-seq data"],"prefix":"10.1093","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1174-8201","authenticated-orcid":false,"given":"Sophie-Marie","family":"Wind","sequence":"first","affiliation":[{"name":"Institute of Medical Informatics, University of Muenster , 48149 Muenster,","place":["Germany"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3909-7132","authenticated-orcid":false,"given":"Thea","family":"Reinkens","sequence":"additional","affiliation":[{"name":"Department of Human Genetics, Hannover Medical School , 30625 Hannover,","place":["Germany"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2390-0541","authenticated-orcid":false,"given":"Yvonne Lisa","family":"Behrens","sequence":"additional","affiliation":[{"name":"Department of Medical Genetics, University Hospital Oldenburg , 26133 Oldenburg,","place":["Germany"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5011-0641","authenticated-orcid":false,"given":"Sarah","family":"Sandmann","sequence":"additional","affiliation":[{"name":"Institute of Medical Data Science, Otto-von-Guericke University Magdeburg , 39120 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