Maximilian Billmann

pFLEX evaluates genetic networks using biological module-resolved precision recall metrics, improving runtime and offering new evaluation tools for network benchmarking.

The paper expands TheCellMap.org to include human genetic interactions from CRISPR-based analysis in HAP1 cells, enabling visualization and exploration of the network.

The paper develops a method to quantify genetic interactions from CRISPR-Cas9 screens and identifies systematic variations in screen data.

The paper constructs a genome-scale genetic interaction network from 4 million double mutants in HAP1 cells, revealing conserved genetic network principles across species and uncovering novel gene functions and cancer dependencies.

BaCoN improves gene buffering prediction by enhancing correlation-based networks with CRISPR-Cas9 and transcriptomic data from DepMap cell lines.

This study identifies functional relationships between TSC22D, WNK, and NRBP gene families in macromolecular crowding sensing and cell volume regulation across metazoans.

The paper presents a scalable CRISPR-Cas9 platform for chemical-genetic screens of DNA damage-inducing compounds, identifying enriched modes-of-action and revealing late ICL repair pathway responses.

The paper shows that N-terminal acetylation by NatC protects proteins from degradation, enhancing longevity and motility, and that UBR4-KCMF1 targets unacetylated N-terminal Met followed by hydrophobic residues.

This study evaluates dimensionality reduction methods to normalize CRISPR screen data and improve functional gene network extraction from the DepMap.

The paper identifies limitations in current reproducibility metrics for CRISPR screens and advocates for context-sensitive metrics to better assess screen quality.

The paper introduces FLEX, a pipeline for benchmarking CRISPR screen data, and identifies a dominant mitochondria-associated signal in genome-wide screens.

This study maps genetic interactions in FASN-deficient cells to identify genes involved in lipid uptake and metabolic adaptation.

The paper evaluates CRISPR/Cas9 knockout screens in human cell lines and designs an optimized gRNA library to improve gene knockout efficiency and accuracy.