Roland Faure

The paper introduces resources for large-scale metagenome comparison in the SRA, revealing trends in microbial discovery and improving assembly quality.

SNooPy is a statistical framework for long-read metagenomic variant calling that outperforms existing methods and is available on GitHub.

DIANA predicts metadata categories from ancient metagenomics data, achieving high accuracy in host, community type, and material classification.

Alice is a fast, memory-efficient long-read assembler that enables strain-resolved metagenomic analysis of large datasets with significant speed and resource improvements over existing methods.

HairSplitter recovers more viral and bacterial strains from noisy long reads than existing tools, while being faster.

Assembling the Sequence Read Archive (27.3 million accessions) with over 100-fold compression enables minutes-scale k-mer search and mining of enzymes, plasmids, proteins and viral reactivation.

The paper presents the first chromosome-level genome assembly of Botryllus schlosseri using long and short reads scaffolded by Hi-C, providing a valuable resource for studying tunicate biology.

GraphUnzip phases assembly graphs into haplotypes using long reads and Hi-C, producing high-quality, gap-less supercontigs across simulated and real datasets.