Author

Jean‐Michel Michno

University of MinnesotaORCID 0000-0003-3723-2246Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Assay:GWAS summary statistics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Chad L. MyersiD· 2 shared Joseph R. JeffersiD· 2 shared Alex B. BrohammeriD· 1 shared Brian P. DilkesiD· 1 shared Candice N. HirschiD· 1 shared Christine L. O’ConnoriD· 1 shared Ivan R. BaxteriD· 1 shared Junqi LiuiD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersSystems Biology

Chad L. MyersORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedApr 7, 2020

Using multiple reference genomes to identify and resolve annotation inconsistencies

Patrick J. Monnahan, Jean‐Michel Michno, Christine L. O’Connor…·Candice N. Hirsch

The paper identifies and resolves split-gene misannotations across multiple maize reference genomes using RNAseq data and a simulation framework.

20 citations

plant (other)bulk RNA-seq

𝕏 PostBluesky

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