Year: 2025
Type: article
Abstract: High-throughput sequencing (HTseq) characterizes complex entities at the level of nucleic acid sequences, e. g. the transcriptome in a biopsy at cellular resolution, or an immune-receptor-repertoire. The complexity of HTseq data makes analysis challenging. Suitable methods are often missing. We therefore develop computational tools for quantitative visualization (quantitative modelling of data, then visualization of meaningful summaries) as illustrated with two examples, scBubble-tree and ClustIRR.
Source: BIOspektrum
Authors: Simo Kitanovski, Kai Wollek, Daniel Hoffmann
Institution: University of Duisburg-Essen
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,190
OpenAlex ID: W4407840381