Florian Massip

This study improves the estimation of evolutionary distances and tree inference by accounting for substitution rate heterogeneity across prokaryotic genomes.

This paper applies the knockoff procedure to transcriptomic data for variable selection, finding it outperforms existing methods but is conservative in real datasets.

The paper models horizontal gene transfer as a stochastic process over a bacterial genus network and uses match length distributions to infer transfer patterns and network topology.

The paper applies network-based methods to genome-wide biobank data to discover genetic associations in psoriasis, identifying known genes and novel MRPL family genes.

This paper introduces ComSeg, a segmentation algorithm for image-based spatial transcriptomics that outperforms existing methods in cell type calling and handles complex tissue structures.

The paper derives an analytical formula for the distribution of distances between heterozygous sites in diploid species to infer demographic history without simplifying assumptions.

The paper identifies dimeric G-quadruplex motifs as key determinants of replication origins by inducing nucleosome-free regions and H2A.Z enrichment in vertebrates.

The paper identifies persistent smoking-related immune alterations in airway tissues and links them to genetic risk factors and lung cancer risk using transcriptomic data and GWAS integration.

The paper investigates random monoallelic expression (RME) in F1 hybrid mouse cells before and after differentiation, revealing gene-specific, epigenetically regulated modes of allelic expression.

The paper identifies over 100,000 horizontal gene transfer events across 90,000 bacterial genomes, revealing frequent long-distance genetic exchange and its functional impact.

The paper compares the statistical distribution of exact sequence matches between paralogous and orthologous gene pairs, showing they contribute differently to power-law tails in genomic sequences.