Etienne Z. Gnimpiéba

Predicting cyanobacterial oxic diazotrophy and prioritizing candidate protein families beyond known Nif proteins

The paper predicts cyanobacterial diazotrophy using protein-family content and prioritizes candidate protein families for experimental validation.

Predictors Recover Most of the Metagenomic Signal for Antibiotic Resistance Gene Occurrence: A Cross-City Test of Geographic Transferability in Urban Wastewater

This study uses environmental predictors to predict antibiotic resistance gene occurrence in urban wastewater, achieving 78% of the predictive performance of metagenomic sequencing.

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

The paper reprocesses SARS-CoV-2 genomic data to correct systematic errors in phylogenies using a novel assembly tool, resulting in a cleaner global tree of 4.47 million samples.

The genome assembly and detection of biosynthetic gene clusters among four novel microbial isolates from deep subsurface rock biofilms

This paper reports the genome assemblies and biosynthetic gene cluster analysis of four deep subsurface microbial isolates, identifying potential natural product pathways and shared/strain-specific enzymes.

Forecasting Urban Wastewater Microbiome Dynamics Using a Digital Twin Framework

This paper introduces a digital twin framework using Q-net to forecast microbial abundance in urban wastewater, achieving high accuracy in temporal dynamics and enabling scenario simulations.

Recapitulating physiologically relevant oxygen levels and extracellular matrix remodeling in patient-derived tumor-immune tunable models reveal targeting opportunities for immunologically cold high-grade serous tumors

This study develops patient-derived tumor-immune models that mimic hypoxia and extracellular matrix changes, revealing TGF-β targeting opportunities to improve immune infiltration in cold tumors.

Classification of bacterial nanowire proteins using Machine Learning and Feature Engineering model

The paper develops a machine learning model to classify bacterial nanowire proteins using feature engineering, achieving high accuracy with XGBoost.

A Draft Reference Genome for Hirudo verbana, the Medicinal Leech

The paper presents the first draft genome assembly for Hirudo verbana, providing a foundation for future genomic studies and comparative analyses.