Manuela Zucknick

This study uses deep learning and time-resolved imaging to map the genetic network controlling autophagy dynamics, revealing a hierarchical control mechanism and new regulatory aspects.

The paper identifies epigenetic and enhancer network changes during beige adipocyte formation, linking them to transcriptional shifts and metabolic function.

This study uses information theory to analyze CRISPR screens and quantifies gene function through geometric measures of selection dynamics and environmental perturbations.

The paper introduces SNAIL, a normalization method that reduces false-positive co-expression associations in RNA-sequencing data, improving downstream network analysis.

metascreen is an R-package for designing and analyzing drug combination screens, offering modular pipelines, quality control, and integration with synergy-finding tools.

The paper introduces bayesynergy, a Bayesian model for analyzing drug combination experiments, providing uncertainty quantification and handling missing data and uneven concentrations.

The paper evaluates two additional miRNA library preparation kits, confirming that miRNA abundance biases are kit-specific and affect dataset comparability.

This study evaluates six commercial low-input miRNA library prep kits, finding differences in detection sensitivity and differential expression but no kit fully captures all expected miRNAs.