Quantitative Visualisierung von HTseq-Daten

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.