Author

Clinton Whipple

Brigham Young UniversityORCID 0000-0001-7879-235XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Plant Biology· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:GWAS / association mapping· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Amina ChaudhryiD· 1 shared Andrea GallavottiiD· 1 shared Andrew N. DoustiD· 1 shared Ashley N. HostetleriD· 1 shared Christian KorfhageiD· 1 shared Daniel H. ChitwoodiD· 1 shared Denia HerweghiD· 1 shared Fan Feng· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperPlant Biology

Amina ChaudhryORCID

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4 papers

Recent·Most cited

Plant BiologyNature PlantsPeer-reviewedJun 12, 2025

Transcription factor binding site divergence across maize inbred lines drives transcriptional and phenotypic variation

Mary Galli, Zongliang Chen, Tara Ghandour…·Andrea Gallavotti

The paper identifies TF binding site divergence between maize inbred lines and links it to gene expression and phenotypic variation.

31 citationstop 1%

zebrafishChIP-seq

𝕏 PostBluesky

Plant BiologybioRxivPreprintMay 4, 2024

Transit amplifying cells balance growth and differentiation in above-ground meristems

Jessica Joossens, Denia Herwegh, Reinout Laureyns…·Hilde Nelissen

The paper identifies transit amplifying cells in maize meristems using spatial transcriptomics and shows their growth and differentiation are independently controlled.

2 citations

plant (other)spatial transcriptomics

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GeneticsbioRxivPreprintNov 22, 2023

QTL analysis of floral morphology polymorphisms between Gilia yorkii and G. capitata

Joseph M DeTemple, Daniel H. Chitwood, Veronica Mosquera, Clinton Whipple

The paper analyzes QTLs for floral morphology differences between Gilia yorkii and G. capitata, identifying colocalized QTL intervals on chromosomes 6 and 9.

1 citation

plant (other)statistical model

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GeneticsG3 Genes Genomes GeneticsPeer-reviewedFeb 1, 2021

Integration of high-density genetic mapping with transcriptome analysis uncovers numerous agronomic QTL and reveals candidate genes for the control of tillering in sorghum

Rajanikanth Govindarajulu, Ashley N. Hostetler, Yuguo Xiao…·Jennifer Hawkins

The paper integrates genetic mapping with transcriptome analysis to identify QTL and candidate genes for tillering control in sorghum using a recombinant inbred line population.

13 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky