| Title: |
scafari: exploring scDNA-seq data |
| Authors: |
Wind, Sophie-Marie; Reinkens, Thea; Behrens, Yvonne Lisa; Sandmann, Sarah |
| Contributors: |
Alkan, Can; University of Muenster; the German Federal Ministry of Education and Research BMBF |
| Source: |
Bioinformatics ; volume 41, issue 9 ; ISSN 1367-4811 |
| Publisher Information: |
Oxford University Press (OUP) |
| Publication Year: |
2025 |
| Description: |
Summary Recent advances in single-cell sequencing made it possible to not just analyze a cell’s individual expression pattern, but to gain insights into a single cell’s 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. Availability and implementation scafari is implemented as an R Bioconductor package featuring a shiny application and is available at https://bioconductor.org/packages/scafari. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1093/bioinformatics/btaf477 |
| DOI: |
10.1093/bioinformatics/btaf477/64191071/btaf477.pdf |
| Availability: |
https://doi.org/10.1093/bioinformatics/btaf477; https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf477/64191071/btaf477.pdf; https://academic.oup.com/bioinformatics/article-pdf/41/9/btaf477/64191071/btaf477.pdf |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.5067DEC1 |
| Database: |
BASE |