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IMPACTS student enrollment in courses

Interdisciplinary skills and activites over the years

Publications of trainees over the years



Palande, S., Kaste, J.A., Roberts, M.D., Segura Aba, K., Claucherty, C., Dacon, J., Doko, R., Jayakody, T.B., Jeffery, H.R., Kelly, N. and Manousidaki, A., 2022. The topological shape of gene expression across the evolution of flowering plants. bioRxiv, pp.2022-09.

Doko, R. and Liu, K.J., 2023. The Impact of Multiple Sequence Alignment Error on Phylogenetic Estimation under Variable-Across-Phylogeny Substitution Models. bioRxiv, pp.2023-01.

MacCready, J.S., Roggenkamp, E.M., Gdanetz, K. and Chilvers, M.I., 2023. Molecular Plant-Microbe Interactions. 

Zhang, C., Johnson, N., Hall, N., Tian, X., Yu, Q. and Patterson, E., 2023. Subtelomeric 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) copy number variation confers glyphosate resistance in Eleusine indica.

Bryson, A.E., Lanier, E.R., Lau, K.H., Hamilton, J.P., Vaillancourt, B., Mathieu, D., Yocca, A.E., Miller, G.P., Edger, P.P., Buell, C.R. and Hamberger, B., 2023. Uncovering a miltiradiene biosynthetic gene cluster in the Lamiaceae reveals a dynamic evolutionary trajectory. Nature Communications, 14(1), p.343.


Kaste, J.A., Green, A. and Shachar-Hill, Y., 2022. Integrative Teaching of Metabolic Modeling and Flux Analysis with Interactive Python Modules. bioRxiv, pp.2022-11.

Kaste, J.A. and Shachar-Hill, Y., 2022. Accurate flux predictions using tissue-specific gene expression in plant metabolic modeling. bioRxiv, pp.2022-09.

Ford, K.C., Kaste, J.A., Shachar-Hill, Y. and TerAvest, M.A., 2022. Flux-Balance Analysis and Mobile CRISPRi-Guided Deletion of a Conditionally Essential Gene in Shewanella oneidensis MR-1. ACS Synthetic Biology.

Ranaweera, T., Brown, B.N., Wang, P. and Shiu, S.H., 2022. Temporal regulation of cold transcriptional response in switchgrass. bioRxiv.

Wang, P., Schumacher, A.M. and Shiu, S.H., 2022. Computational prediction of plant metabolic pathways. Current Opinion in Plant Biology, 66, p.102171.

Bird, K. A., Jacobs, M., Sebolt, A., Rhoades, K., Alger, E. I., Colle, M., ... & Edger, P. P. (2022). Parental origins of the cultivated tetraploid sour cherry (Prunus cerasus L.). Plants, People, Planet.

Teresi, S. J., Teresi, M. B., & Edger, P. P. (2022). TE Density: a tool to investigate the biology of transposable elements. Mobile DNA, 13(1), 1-18.

Xu, Y., Wieloch, T., Kaste, J. A. M., Shachar-Hill, Y., & Sharkey, T. D. (2022). Reimport of carbon from cytosolic and vacuolar sugar pools into the Calvin–Benson cycle explains photosynthesis labeling anomalies. Proceedings of the National Academy of Sciences, 119(11). 

Wilson, M. L., & VanBuren, R. (2022). Leveraging millets for developing climate resilient agriculture. Current Opinion in Biotechnology, 75, 102683.

Hoopes, G., Meng, X., Hamilton, J. P., Achakkagari, S. R., Guesdes, F. D. A. F., Bolger, M. E., Bornowski, N.,... & Finkers, R. (2022). Phased, chromosome-scale genome assemblies of tetraploid potato reveals a complex genome, transcriptome, and predicted proteome landscape underpinning genetic diversity. Molecular Plant.

Sadohara, R., Izquierdo, P., Couto Alves, F., Porch, T., Beaver, J., Urrea, C. A., & Cichy, K. (2022). The Phaseolus vulgaris L. Yellow Bean Collection: genetic diversity and characterization for cooking time. Genetic Resources and Crop Evolution, 1-22.


Sadohara, R., Long, Y., Izquierdo, P., Urrea, C. A., Morris, D., & Cichy, K. (2021). Seed coat color genetics and genotype× environment effects in yellow beans via machine‐learning and genome‐wide association. The Plant Genome, e20173.

Bryson, A.E., Wilson Brown, M., Mullins, J., Dong, W., Bahmani, K., Bornowski, N., Chiu, C., Engelgau, P., Gettings, B., Gomezcano, F. and Gregory, L.M., 2020. Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves. Applications in plant sciences, 8(12), p.e11404.

Zhou, P., Li, Z., Magnusson, E., Gomez Cano, F., Crisp, P.A., Noshay, J.M., Grotewold, E., Hirsch, C.N., Briggs, S.P. and Springer, N.M., 2020. Meta gene regulatory networks in maize highlight functionally relevant regulatory interactions. The Plant Cell, 32(5), pp.1377-1396.

Dale, R., Oswald, S., Jalihal, A., Laporte, M.F., Fletcher, D.M., Hubbard, A., Shiu, S.H., Nelson, A.D. and Bucksch, A., 2021. Overcoming the challenges to enhancing experimental plant biology with computational modeling.

Educational Materials:
Phenology data visualization tool
Mini Data Carpentry Genomics Workshop
Lightning talk rubric
Imposter syndrome poster and presentation