Nico Borgsmüller

DelSIEVE infers cell phylogeny and variants from scDNA-seq data, improving detection of deletions and evolutionary events compared to existing methods.

DemoTape is a computational method for demultiplexing targeted single-cell DNA sequencing data, showing improved performance over existing methods for RNA sequencing data.

The paper introduces optimal combinatorial pooling strategies for single-cell sequencing to reduce costs while enabling robust sample identification using genetic profiles and pool compositions.

LongSom detects somatic variants in LR scRNA-seq data without normal samples, revealing clonal heterogeneity in ovarian cancer.

V-pipe 3.0 is a computational pipeline for analyzing viral genomic data, enabling reproducible and scalable estimation of within-sample genetic diversity.

SIEVE jointly infers somatic variants and cell phylogeny from scDNA-seq data, showing improved accuracy in both tasks compared to existing methods.

The paper examines SARS-CoV-2 genetic diversity within individual patients, finding that a small number of patients carry most of the diversity and that older patients tend to have more diverse viral variants.

This paper introduces BnpC, a non-parametric method for clustering single-cell mutation profiles to identify clonal populations, showing improved accuracy and scalability over existing methods.

WiPP improves GC-MS peak detection by combining multi-algorithm results with machine learning-based quality assessment, enhancing accuracy and enabling algorithm comparison.