Dario Righelli

This paper uses a graph neural network to predict antibacterial activity against Acinetobacter baumannii and identifies piperazine as a key contributor to predicted activity, leading to the testing of CE3F4.

LLMsFold designs and validates new small molecules targeting pathogenic proteins using LLMs and biophysical simulations, showing strong in silico binding and drug-like profiles.

SpaceTrooper provides a data-driven quality control framework for imaging-based spatial omics data, improving clustering and cell-type coherence by identifying low-quality cells without fixed thresholds.

The paper provides an open-source online book for analyzing spatial transcriptomics data using Bioconductor in R, with reproducible code and datasets.

The paper provides a Bioconductor package with curated landmark datasets for single-cell multimodal data, enabling easy access and analysis of seven different technologies.

SpatialExperiment provides a data infrastructure for spatially resolved transcriptomics data in R/Bioconductor, with examples from Visium and seqFISH platforms.

This study identifies a Tbx1-dependent multilineage primed population in the murine cardiopharyngeal mesoderm using single-cell RNA-sequencing and shows its role in cardiac and skeletal muscle development.

Easyreporting simplifies implementing reproducible research layers in R software by enabling report creation without R Markdown knowledge and automatic tracking of analysis steps.

This study examines the transcriptional and chromatin changes in mouse cells lacking TBX1, finding significant transcriptional effects but limited chromatin remodeling.

This study shows that Shank3 modulates sleep and circadian transcription factor expression in mice, with sleep deprivation exacerbating gene expression differences between Shank3 mutants and wild types.