Johanna Elena Schmitz

The paper improves a tool for sorting DNA reads in xenograft models, enhancing efficiency for epigenetic analysis.

DivQuant estimates species richness and entropy from small samples, achieving accurate confidence intervals and outperforming existing methods across multiple datasets.

ESMM improves epigenomic state annotation by integrating DNA methylation and chromatin marks, enhancing the detection of heterochromatic regions and regulatory element boundaries.

PanXpress quantifies bacterial gene expression using a pan-transcriptomic gapped k-mer index, achieving high recall and precision in mixed strain samples.

This paper introduces an algorithm for error correction in scRNA-seq data, improving gene expression quantification efficiency and accuracy.

Cleanifier removes human contamination from microbial sequences using a pangenome index and spaced seeds, achieving speed and accuracy comparable to existing tools.

The paper reviews and evaluates species richness estimation methods on real and simulated data, finding that different methods perform best under varying population compositions and sample sizes.

EpiSegMix improves chromatin state segmentation by using a flexible hidden Markov model with duration modeling, outperforming existing tools in predicting gene expression.