Author

Joseph R. Jeffers

University of MinnesotaORCID 0000-0003-3706-5839Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:GWAS summary statistics· 1 Organism:plant (other)· 1 Research Focus:software / tool· 1 Organism:zebrafish· 1

Frequent Co-Authors

Chad L. MyersiD· 2 shared Jean‐Michel MichnoiD· 2 shared Brian P. DilkesiD· 1 shared Ivan R. BaxteriD· 1 shared Junqi LiuiD· 1 shared Liana T. BurghardtiD· 1 shared Owen A. HoekengaiD· 1 shared Peter TiffiniD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersSystems Biology

Chad L. MyersORCID

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2 papers

Recent·Most cited

Systems BiologyThe Plant CellPeer-reviewedNov 9, 2018

Integrating co-expression networks with GWAS to prioritize causal genes in maize

Robert Schaefer, Jean‐Michel Michno, Joseph R. Jeffers…·Chad L. Myers

The paper develops Camoco, a method integrating GWAS loci with co-expression networks to prioritize causal genes in maize, showing improved performance with tissue-specific expression data.

161 citationstop 1%

zebrafishGWAS summary statistics

𝕏 PostBluesky

Systems BiologybioRxivPreprintAug 16, 2018

Identification of candidate genes underlying nodulation-specific phenotypes in Medicago truncatula through integration of genome-wide association studies and co-expression networks

Jean‐Michel Michno, Liana T. Burghardt, Junqi Liu…·Chad L. Myers

The paper integrates GWAS and co-expression networks to identify candidate genes associated with nodule-related phenotypes in Medicago truncatula.

3 citations

plant (other)statistical model

𝕏 PostBluesky