Steven B. Haase

This study shows that hypoxia induces a G2 checkpoint in Cryptococcus neoformans by inhibiting budding and activating Swe1, preventing cell division despite nutrient availability.

AutoGater is a weakly supervised model that identifies viable cells in flow cytometry data using light-scatter channels, without fluorescent stains.

The paper shows that the host circadian cycle and parasite intraerythrocytic cycle are coupled in P. vivax infections, suggesting potential therapeutic targets.

This paper introduces DART, a DBTL loop for synthetic genetic circuit design, showing that complex circuits can be more robust and reproducible than simpler ones in budding yeast.

The paper develops a computational method to predict synthetic circuit robustness across growth conditions and validates it with experimental results in budding yeast.

The paper develops a machine learning approach to identify perturbation-inducible genes from time-series RNA-seq data, applying it to discover malathion-responsive promoters in Pseudomonas fluorescens.

The paper introduces a computational pipeline to identify core genetic networks from time-series data by iteratively reducing hypotheses, validated on synthetic and yeast cell-cycle data.

The paper identifies core gene regulatory network components across species by analyzing transcriptome dynamics, revealing shared features in GRNs controlling periodic biological processes.

The paper replicates yeast-based logic circuit design assessments using a high-throughput robotic framework, generating more flow cytometry data than the original study.

This study identifies transcriptomic changes in Plasmodium falciparum in HbAS red blood cells, showing altered protein export and stress response mechanisms that may contribute to malaria protection.

The paper introduces improved datasets and evaluation methods for DNA-binding protein prediction, showing that a gradient boosting model and a BLAST-based baseline outperform previous methods.

The paper shows that a transcription factor network generates and transmits a transcriptional pulse independently of CDK oscillations during the cell cycle.