Steven B. Haase

Affiliations: 
Duke University/ Department of Biology 
Area:
genetics, genomics, systems biology, computational biology
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"Steven Haase"
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Publications

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Hasnain A, Balakrishnan S, Joshy DM, et al. (2024) Author Correction: Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics. Nature Communications. 15: 2034
Fox J, Cummins B, Moseley RC, et al. (2023) A yeast cell cycle pulse generator model shows consistency with multiple oscillatory and checkpoint mutant datasets. Mathematical Biosciences. 109102
Campione SA, Kelliher CM, Orlando DA, et al. (2023) Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons. Journal of Visualized Experiments : Jove
Motta FC, McGoff K, Moseley RC, et al. (2023) The parasite intraerythrocytic cycle and human circadian cycle are coupled during malaria infection. Proceedings of the National Academy of Sciences of the United States of America. 120: e2216522120
Hasnain A, Balakrishnan S, Joshy DM, et al. (2023) Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics. Nature Communications. 14: 3148
Cummins B, Vrana J, Moseley RC, et al. (2023) Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop. Synthetic Biology (Oxford, England). 8: ysad005
Goldman RP, Moseley R, Roehner N, et al. (2022) Highly-automated, high-throughput replication of yeast-based logic circuit design assessments. Synthetic Biology (Oxford, England). 7: ysac018
Cummins B, Motta FC, Moseley RC, et al. (2022) Experimental guidance for discovering genetic networks through hypothesis reduction on time series. Plos Computational Biology. 18: e1010145
Welling CM, Singleton DR, Haase SB, et al. (2022) Predictive values of time-dense SARS-CoV-2 wastewater analysis in university campus buildings. The Science of the Total Environment. 835: 155401
Motta FC, Moseley RC, Cummins B, et al. (2022) Conservation of dynamic characteristics of transcriptional regulatory elements in periodic biological processes. Bmc Bioinformatics. 23: 94
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