Laura Arrigoni

This paper improves scATAC-seq by introducing fixation, cryopreservation, and multiplexing to enable reliable analysis of preserved cells.

AutoRELACS automates the RELACS ChIP-seq protocol, enabling high-throughput data generation and analysis with quality comparable to manual methods.

This study investigates how DOT1L methyltransferase activity affects chromatin states and gene expression during neuronal differentiation of mouse embryonic stem cells.

CRUP predicts condition-specific regulatory units by analyzing histone modification ChIP-seq data and linking enhancers to target genes in rheumatoid arthritis.

The paper develops a scaffolding algorithm using Hi-C data to assemble chromosome-length genomes in Drosophila species, revealing conserved 3D regulatory topologies despite extensive genome shuffling.

The paper identifies partially methylated domains (PMDs) as widespread epigenomic features across human and mouse cells, showing cell-type specificity and links to gene expression, replication timing, and proliferation.

Parkour is a web-based software package for managing next generation sequencing sample preparation workflows, improving efficiency and quality through automated tracking and staff assignment.

This study identifies chromatin-state signatures linked to β-cell dysfunction and diabetes by combining epigenome mapping with single-cell transcriptomics in mice and humans.

This paper introduces a method for ultra-parallelized ChIP-seq using barcoded intact nuclei, enabling high-throughput analysis of chromatin-associated proteins.

The paper identifies DNA motifs at TAD boundaries in flies and shows they encode 3D genome architecture, with an online database for exploration.

normR normalizes ChIP-seq data to improve enrichment calling in different histone modification regimes.