Nathalie Vialaneix

This study identifies the molecular mechanism of insertion-driven HPAIV emergence and introduces a predictive tool to identify predisposed HA sequences.

This study maps transcriptome changes in rabbit intestinal epithelial cells during the suckling-to-weaning transition, revealing cell-type-specific responses to solid food intake.

This study uses scRNA-seq to show that ALI culture enhances goblet cell differentiation and reduces glycolysis in rabbit caecum organoids, more closely mirroring in vivo gene expression patterns.

This paper introduces a method for joint metabolite identification and quantification across multiple 1H NMR spectra, improving accuracy, especially at low concentrations.

This study investigates fetal pig maturity using metabolomics in three fluids, identifying key metabolic pathways and biomarkers associated with neonatal survival.

The paper annotates transcriptomes and chromatin structures in liver and T cells from four livestock species using RNA-seq, ATAC-seq, and Hi-C, revealing conserved regulatory elements and genome organization patterns.

ASICS provides an R package for a complete workflow analyzing 1D 1H NMR spectra, improving metabolite quantification and identifying relevant metabolites in metabolomics studies.

The paper introduces a multiple kernel learning framework for integrating heterogeneous omics data and demonstrates its application on metagenomic and breast cancer datasets.