Author

M. W. Grzybowski

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:GWAS / association mapping· 2 Organism:plant (other)· 2 Organism:zebrafish· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

J. C. Schnable· 4 shared G. Sun· 2 shared J. Turkus· 2 shared J. V. Torres-Rodriguez· 2 shared R. V. Mural· 2 shared A. Atefi· 1 shared A. M. Thompson· 1 shared A. V. Nishimwe· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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4 shared papersPlant Biology

J. C. Schnable

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Author profile →

4 papers

Recent·Most cited

Data driven discovery and quantification of hyperspectral leaf reflectance phenotypes across a maize diversity panel

M. C. Tross, M. W. Grzybowski, T. Z. Jubery, R. J. Grove, A. V. Nishimwe, J. V. Torres-Rodriguez, G. Sun, B. Ganapathysubramanian, J. C. Schnable

This study uses data-driven methods to analyze hyperspectral leaf reflectance data from maize plants, identifying genetic markers correlated with reflectance patterns and chlorophyll content.

bioRxiv · Dec 15, 2023Plant Biology

Population level gene expression can repeatedly link genes to functions in maize

J. V. Torres-Rodriguez, D. Li, J. Turkus, L. Newton, J. Davis, L. Lopez-Corona, W. Ali, G. Sun, R. V. Mural, M. W. Grzybowski, A. M. Thompson, J. C. Schnable

This study uses transcriptome-wide association studies in maize to identify flowering time genes, finding TWAS detects more genes than GWAS and links gene expression to function across tissues and environments.

bioRxiv · Oct 31, 2023 · PreprintPlant Biology

A Common Resequencing-Based Genetic Marker Dataset for Global Maize Diversity

M. W. Grzybowski, R. V. Mural, G. Xu, J. Turkus, J. Yang, J. C. Schnable

The paper creates a unified genetic marker dataset from maize resequencing data to enhance the analysis of genetic diversity and functional allele frequency changes.

bioRxiv · Oct 28, 2022Plant Biology

Variation in morpho-physiological and metabolic responses to low nitrogen stress across the sorghum association panel

M. W. Grzybowski, M. Zwiener, H. Jin, N. K. Wijewardane, A. Atefi, M. J. Naldrett, S. Alvarez, Y. Ge, J. C. Schnable

The paper quantifies variation in sorghum's morphological, physiological, and metabolic responses to nitrogen stress and links these to grain yield under different conditions.

bioRxiv · Jun 8, 2022Plant Biology