Author

Matt Stata

Michigan State UniversityORCID 0000-0002-5744-4898Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Seung Y. RheeiD· 2 shared Bo XueiD· 1 shared Cheng ZhaoiD· 1 shared Karine PradoiD· 1 shared Keykhosrow KeymaneshiD· 1 shared Maxim Koriabine· 1 shared Purva KariaiD· 1 shared Ronan C. O’MalleyiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersPlant Biology

Seung Y. RheeORCID

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2 papers

Recent·Most cited

Single-cell-level response to drought in Sorghum bicolor reveals novel targets for improving water use efficiency

Matt Stata, Sharon I. Greenblum, Purva Karia, Maxim Koriabine, Yuko Yoshinaga, Keykhosrow Keymanesh, Cheng Zhao, Ronan C. O’Malley, Seung Y. Rhee

The paper identifies single-cell transcriptional responses to drought in Sorghum bicolor and highlights shared regulatory mechanisms across cell types.

bioRxiv · Aug 28, 2025 · PreprintPlant Biology

UnigeneFinder: An automated pipeline for gene calling from transcriptome assemblies without a reference genome

Bo Xue, Karine Prado, Seung Y. Rhee, Matt Stata

UnigeneFinder reduces transcriptome assembly redundancy and automates gene calling without a reference genome, improving accuracy for non-model organisms.

Plant Direct · Apr 1, 2025Peer-reviewedBioinformatics