Moran Yassour

IBD stress impacts gut microbiome intra-species diversity

The paper investigates how IBD stress affects intra-species diversity in the gut microbiome, finding species- and function-specific genetic changes associated with motility and iron-scavenging.

An Observational Study of the Impact of Systemic B-cell Depletion on Cervicovaginal Mucosal Environment

This study examines how rituximab treatment affects vaginal mucosal immune markers, immune cell populations, and microbiome composition in women compared to healthy controls.

Prophages of infant-derived Bifidobacterium longum subspecies employ antagonistic and synergistic strategies to persist in their host

The paper identifies and analyzes prophages in infant-derived Bifidobacterium longum subspecies, revealing their antagonistic and synergistic strategies for persistence in the gut.

Development of the preterm infant gut and gastric residuals microbiome

This study characterizes the gut and gastric residuals microbiome in preterm infants, identifying distinct microbial clusters and dynamics associated with clinical outcomes.

Discovery, functionality and global dynamics of Bifidobacterium longum subsp. nexti : a novel starch-degrading subspecies in the infant gut

The paper identifies a novel subspecies of Bifidobacterium longum, BL. nexti, in infant gut microbiomes, showing its association with formula feeding and vertical transmission.

LAMPP: A benchmark for continuous evaluation of host phenotype prediction from shotgun metagenomic data

LAMPP provides a standardized benchmark for evaluating host phenotype prediction from gut metagenomic data, showing that traditional methods remain competitive.

GENI: a web server to identify gene set enrichments in tumor samples

GENI is a web tool that identifies gene set enrichments in TCGA tumor data, simplifying analysis for non-experts by evaluating gene expression in the context of the whole transcriptome.

A comprehensive fitness landscape model reveals the evolutionary history and future evolvability of eukaryotic cis-regulatory DNA sequences

The paper constructs a deep transformer model to predict gene expression from cis-regulatory DNA sequences in yeast, revealing evolutionary constraints and evolvability patterns.