Siewers, Verena

Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

Zrimec, J., Börlin, C. S., Buric, F., Muhammad, A. S., Chen, R., Siewers, V., Verendel, V., Nielsen, J., Töpel, M., & Zelezniak, A. (2020) · Nature Communications

Genomics and Chromatin DynamicsGene Regulatory Network Analysis

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Editorial: Yeast synthetic biology: new tools to unlock cellular function

Alper, H. S., Kang, H. A., & Siewers, V. (2015) · FEMS Yeast Research

Microbial Metabolic Engineering and BioproductionFungal and yeast genetics research

Cited by 164

Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0

Domenzain, I., Sánchez, B., Anton, M., Kerkhoven, E. J., Millán-Oropeza, A., Henry, C., Siewers, V., Morrissey, J. P., Sonnenschein, N., & Nielsen, J. (2021) · Nature Communications

Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis

Cited by 158